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2015-11_policy_distillation
2016-08_popart_learning_values_across_many_orders_of_magnitude
2016-10_reset-free_trial-and-error_learning_for_robot_damage_recovery
2016-11_learning_to_act_by_predicting_the_future
2016-11_quasi-recurrent_neural_networks
2017-03_model-agnostic_meta-learning_for_fast_adaptation_of_deep_networks
2017-06_accurate_large_minibatch_sgd_training_imagenet_in_1_hour
2017-11_neural_discrete_representation_learning
2018-03_on_first-order_meta-learning_algorithms
2018-03_world_models
2018-06_maximum_a_posteriori_policy_optimisation
2018-07_human-level_performance_in_first-person_multiplayer_games_with_population-based_deep_reinforcement_learning
2018-10_exploration_by_random_network_distillation
2018-11_qt-opt_scalable_deep_reinforcement_learning_for_vision-based_robotic_manipulation
2019-01_paired_open-ended_trailblazer_poet_endlessly_generating_increasingly_complex_and_diverse_learning_environments_and_their_solutions
2019-03_the_lottery_ticket_hypothesis_finding_sparse_trainable_neural_networks
2019-04_evolving_rewards_to_automate_reinforcement_learning
2019-05_open_ended_learning_symmetric_zero_sum_games
2019-10_grandmaster_level_in_starcraft_ii_using_multi-agent_reinforcement_learning
2019-10_v-mpo_on-policy_maximum_a_posteriori_policy_optimization_for_discrete_and_continuous_control
2019-11_dd-ppo_learning_near-perfect_pointgoal_navigators_from_2.5_billion_frames
2019-11_textworld_a_learning_environment_for_text-based_games
2019-12_covariance_matrix_adaptation_for_the_rapid_illumination_of_behavior_space
2019-12_larc
2019-12_quality-diversity_optimisation_algorithms
2020-01_bringing_stories_alive_generating_interactive_fiction_worlds
2020-01_pcgrl_procedural_content_generation_via_reinforcement_learning
2020-03_enhanced_poet_open-ended_reinforcement_learning_through_unbounded_invention_of_learning_challenges_and_their_solutions
2020-04_pbcs_efficient_exploration_and_exploitation_using_a_synergy_between_reinforcement_learning_and_motion_planning
2020-05_a_distributional_view_on_multi-objective_policy_optimization
2020-05_learning_simulate_dynamic_environments_gamegan
2020-06_conservative_q-learning_for_offline_reinforcement_learning
2020-06_open_questions_in_creating_safe_open-ended_ai_tensions_between_control_and_creativity
2020-06_rigging_the_lottery_making_all_tickets_winners
2020-07_accelerating_online_reinforcement_learning_offline_datasets
2020-07_distributed_associative_memory_network_with_memory_refreshing_loss
2020-07_hyperparameter_selection_for_offline_reinforcement_learning
2020-07_tabletop_roleplaying_games_procedural_content_generators
2020-08_chess_transformer_mastering_play_using_generative_language_models
2020-08_computer-generated_music_for_tabletop_role-playing_games
2020-08_decoupling_exploration_and_exploitation_for_meta-reinforcement_learning_without_sacrifices
2020-08_game_level_clustering_and_generation_using_gaussian_mixture_vaes
2020-08_mixed_initiative_level_design_rl_brush
2020-08_transformers_rnns_fast_autoregressive_linear_attention
2020-10_assessing_game_balance_alphazero_exploring_alternative_rule_sets_chess
2020-10_a_survey_of_the_state_of_explainable_ai_for_natural_language_processing
2020-10_beyond_english-centric_multilingual_machine_translation
2020-10_eecbs_a_bounded-suboptimal_search_for_multi-agent_path_finding
2020-10_generating_game_levels_for_multiple_distinct_games_with_a_common_latent_space
2020-10_implicit_under_parameterization_inhibits_data_efficient_deep_reinforcement_learning
2020-10_massively_large_scale_distributed_reinforcement_learning_menger
2020-10_mastering_atari_go_chess_and_shogi_by_planning_with_a_learned_model
2020-10_qplex_duplex_dueling_multi_agent_learning
2020-10_smaller_world_models_for_reinforcement_learning
2020-10_video_game_level_repair_via_mixed_integer_linear_programming
2020-11_finrl_a_deep_reinforcement_learning_library_for_automated_stock_trading_in_quantitative_finance
2020-11_training_efficientnets_at_supercomputer_scale_83_imagenet_top_1_accuracy_one_hour
2020-12_a_memory_efficient_baseline_for_open_domain_question_answering
2020-12_bebold_exploration_beyond_boundary_explored_regions
2020-12_deepmind_lab2d
2020-12_relative_variational_intrinsic_control
2020-12_understanding_how_dimension_reduction_tools_work_an_empirical_approach_to_deciphering_t-sne_umap_trimap_and_pacmap_for_data_visualization
2021-01_addressing_some_limitations_of_transformers_with_feedback_memory
2021-01_brax_differentiable_physics_engine_large_scale_rigid_body_simulation
2021-01_multi_task_curriculum_learning_complex_visual_hard_exploration_domain_minecraft
2021-01_what_can_i_do_here_learning_new_skills_by_imagining_visual_affordances
2021-01_world-gan_a_generative_model_for_minecraft_worlds
2021-01_zero-offload_democratizing_billion-scale_model_training
2021-01_zero-shot_text-to-image_generation
2021-02_first_return_then_explore
2021-02_learning_transferable_visual_models_from_natural_language_supervision
2021-02_paired_emergent_complexity_and_zero-shot_transfer_via_unsupervised_environment_design
2021-03_amortized_conditional_normalized_maximum_likelihood_reliable_out_of_distribution_uncertainty_estimation
2021-03_meta-learning_through_hebbian_plasticity_in_random_networks
2021-03_pay_attention_to_mlps
2021-03_teachmyagent_a_benchmark_for_automatic_curriculum_learning_in_deep_rl
2021-04_actionable_models_unsupervised_offline_reinforcement_learning_of_robotic_skills
2021-04_counter-strike_deathmatch_with_large-scale_behavioural_cloning
2021-04_efficientnetv2_smaller_models_and_faster_training
2021-04_rapid_exploration_for_open-world_navigation_with_latent_goal_models
2021-04_reset-free_reinforcement_learning_via_multi-task_learning_learning_dexterous_manipulation_behaviors_without_human_intervention
2021-04_zero-infinity_breaking_the_gpu_memory_wall_for_extreme_scale_deep_learning
2021-05_motivate_dragon_teaching_goal_driven_agents_speak_act_fantasy_worlds
2021-06_decision_transformer_reinforcement_learning_via_sequence_modeling
2021-06_extracting_training_data_from_large_language_models
2021-06_reinforcement_learning_as_one_big_sequence_modeling_problem
2021-06_transformer-based_conditional_variational_autoencoder_for_controllable_story_generation
2021-07_conservative_objective_models_for_effective_offline_model-based_optimization
2021-07_epistemic_neural_networks
2021-07_few-shot_neural_architecture_search
2021-07_generative_adversarial_networks_in_time_series_a_survey_and_taxonomy
2021-07_habitat_2.0_training_home_assistants_to_rearrange_their_habitat
2021-07_high-accuracy_model-based_reinforcement_learning_a_survey
2021-07_improve_agents_without_retraining_parallel_tree_search_off_policy_correction
2021-07_lottery_ticket_preserves_weight_correlation_is_it_desirable_or_not
2021-07_mastering_visual_continuous_control_improved_data-augmented_reinforcement_learning
2021-07_megaverse_simulating_embodied_agents_at_one_million_experiences_per_second
2021-07_mural_meta-learning_uncertainty-aware_rewards_for_outcome-driven_reinforcement_learning
2021-07_offline_meta-reinforcement_learning_with_online_self-supervision
2021-07_offline_model-based_optimization_via_normalized_maximum_likelihood_estimation
2021-07_open-ended_learning_leads_to_generally_capable_agents
2021-07_perceiver_io_a_general_architecture_for_structured_inputs_outputs
2021-07_pragmatic_image_compression_for_human-in-the-loop_decision-making
2021-07_pruning_ternary_quantization
2021-07_reasoning-modulated_representations
2021-07_reinforcement_learning_with_prototypical_representations
2021-07_scalable_evaluation_of_multi-agent_reinforcement_learning_with_melting_pot
2021-07_train_on_small_play_the_large_scaling_up_board_games_with_alphazero_and_gnn
2021-07_vector_quantized_models_for_planning
2021-07_visual_adversarial_imitation_learning_using_variational_models
2021-08_gan_computers_generate_arts_a_survey_on_visual_arts_music_and_literary_text_generation_using_generative_adversarial_network
2021-09_faster_improvement_rate_population_based_training
2021-10_effects_of_different_optimization_formulations_in_evolutionary_reinforcement_learning_on_diverse_behavior_generation
2021-10_embodied_intelligence_via_learning_and_evolution
2021-10_pick_your_battles_interaction_graphs_as_population-level_objectives_for_strategic_diversity
2021-10_planning_from_pixels_in_environments_with_combinatorially_hard_search_spaces
2021-10_replay-guided_adversarial_environment_design
2021-11_procedural_generalization_by_planning_with_self-supervised_world_models
2021-12_differentiable_spatial_planning_using_transformers
2021-12_d_star_plus_a_generic_platform-agnostic_and_risk-aware_path_planing_framework_with_an_expandable_grid
2022-05_simplex_neural_population_learning_any-mixture_bayes-optimality_in_symmetric_zero-sum_games
2022-09_learning_to_learn_with_generative_models_of_neural_network_checkpoints
2023-01_gpt_in_60_lines_of_numpy
2023-03_a_survey_of_large_language_models
2023-03_chatgpt4pcg_competition_character-like_level_generation_for_science_birds
2023-03_multiple_hands_make_light_work_enhancing_quality_and_diversity_using_map-elites_with_multiple_parallel_evolution_strategies
2023-03_scaling_instructable_agents_across_many_simulated_worlds
2023-03_understanding_plasticity_in_neural_networks
2023-04_generative_agents_interactive_simulacra_of_human_behavior
2023-04_gymnax_reinforcement_learning_environments_in_jax
2023-05_deep_reinforcement_learning_with_plasticity_injection
2023-05_improving_language_model_negotiation_with_self-play_and_in-context_learning_from_ai_feedback
2023-06_a_technical_report_for_polyglot-ko_open-source_large-scale_korean_language_models
2023-06_jumanji_a_diverse_suite_of_scalable_reinforcement_learning_environments_in_jax
2023-06_secrets_of_rlhf_in_large_language_models_part_i_ppo
2023-07_polylm_an_open_source_polyglot_large_language_model
2023-08_jiang_chinese_open_foundation_language_model
2023-08_maintaining_plasticity_in_continual_learning_via_regenerative_regularization
2023-08_minizero_comparative_analysis_of_alphazero_and_muzero_on_go_othello_and_atari_games
2023-10_amago_scalable_in-context_reinforcement_learning_for_adaptive_agents
2023-10_a_general_theoretical_paradigm_to_understand_learning_from_human_preferences
2023-10_large_language_models_as_generalizable_policies_for_embodied_tasks
2023-10_mistral_7b
2023-10_vanishing_gradients_in_reinforcement_finetuning_of_language_models
2023-11_minimax_efficient_baselines_for_autocurricula_in_jax
2023-12_batched_low-rank_adaptation_of_foundation_models
2023-12_diloco_distributed_low-communication_training_of_language_models
2023-12_direct_preference_optimization_your_language_model_is_secretly_a_reward_model
2023-12_efficient_large_language_models_a_survey
2023-12_llm-powered_hierarchical_language_agent_for_real-time_human-ai_coordination
2023-12_scalable_agent-based_modeling_for_complex_financial_market_simulations
2023-12_speeding_up_the_gpt_-_kv_cache
2023-12_unicron_economizing_self-healing_llm_training_at_scale
2023-12_xland-minigrid_scalable_meta-reinforcement_learning_environments_in_jax
2024-01_agent_alignment_in_evolving_social_norms
2024-01_args_alignment_as_reward-guided_search
2024-01_asynchronous_local-sgd_training_for_language_modeling
2024-01_a_minimaximalist_approach_to_reinforcement_learning_from_human_feedback
2024-01_a_survey_on_efficient_federated_learning_methods_for_foundation_model_training
2024-01_biofinbert_finetuning_large_language_models_llms_to_analyze_sentiment_of_press_releases_and_financial_text_around_inflection_points_of_biotech_stocks
2024-01_bridging_state_and_history_representations_understanding_self-predictive_rl
2024-01_code_generation_with_alphacodium_from_prompt_engineering_to_flow_engineering
2024-01_coevolving_artistic_images_using_omnirep
2024-01_continual_learning_with_pre-trained_models_a_survey
2024-01_contrastive_preference_optimization_pushing_the_boundaries_of_llm_performance_in_machine_translation
2024-01_decentralized_federated_learning_a_survey_on_security_and_privacy
2024-01_deepseekmoe_towards_ultimate_expert_specialization_in_mixture-of-experts_language_models
2024-01_efficient_tool_use_with_chain-of-abstraction_reasoning
2024-01_enhancing_end-to-end_multi-task_dialogue_systems_a_study_on_intrinsic_motivation_reinforcement_learning_algorithms_for_improved_training_and_adaptability
2024-01_enhancing_human_experience_in_human-agent_collaboration_a_human-centered_modeling_approach_based_on_positive_human_gain
2024-01_in-context_learning_with_retrieved_demonstrations_for_language_models_a_survey
2024-01_large_language_models_for_robotics_opportunities_challenges_and_perspectives
2024-01_large_language_model_based_multi-agents_a_survey_of_progress_and_challenges
2024-01_learn_once_plan_arbitrarily_lopa_attention-enhanced_deep_reinforcement_learning_method_for_global_path_planning
2024-01_llm_maybe_longlm_self-extend_llm_context_window_without_tuning
2024-01_mambabyte_token-free_selective_state_space_model
2024-01_masked_audio_generation_using_a_single_non-autoregressive_transformer
2024-01_medusa_simple_llm_inference_acceleration_framework_with_multiple_decoding_heads
2024-01_metacognition_is_all_you_need_using_introspection_in_generative_agents_to_improve_goal-directed_behavior
2024-01_mixtral_of_experts
2024-01_mm-llms_recent_advances_in_multimodal_large_language_models
2024-01_monte_carlo_tree_search_for_recipe_generation_using_gpt-2
2024-01_parrot_pareto-optimal_multi-reward_reinforcement_learning_framework_for_text-to-image_generation
2024-01_rag_vs_fine-tuning_pipelines_tradeoffs_and_a_case_study_on_agriculture
2024-01_reft_reasoning_with_reinforced_fine-tuning
2024-01_secrets_of_rlhf_in_large_language_models_part_ii_reward_modeling
2024-01_seeclick_harnessing_gui_grounding_for_advanced_visual_gui_agents
2024-01_self-rewarding_language_models
2024-01_speechagents_human-communication_simulation_with_multi-modal_multi-agent_systems
2024-01_stablelm-2-1.6b
2024-01_streamvoice_streamable_context-aware_language_modeling_for_real-time_zero-shot_voice_conversion
2024-01_tinyllama_an_open-source_small_language_model
2024-01_towards_conversational_diagnostic_ai
2024-01_warm_on_the_benefits_of_weight_averaged_reward_models
2024-01_whisper_speech
2024-01_worlddreamer_towards_general_world_models_for_video_generation_via_predicting_masked_tokens
2024-02_can_mamba_learn_how_to_learn_a_comparative_study_on_in-context_learning_tasks
2024-02_craftax_a_lightning-fast_benchmark_for_open-ended_reinforcement_learning
2024-02_diffusion_world_model
2024-02_genie_generative_interactive_environments
2024-02_large_language_model_for_table_processing_a_survey
2024-02_more_agents_is_all_you_need
2024-02_puzzle_solving_using_reasoning_of_large_language_models_a_survey
2024-02_read_to_play_r2-play_decision_transformer_with_multimodal_game_instruction
2024-02_return-aligned_decision_transformer
2024-02_s-agents_self-organizing_agents_in_open-ended_environments
2024-02_the_era_of_1-bit_llms_all_large_language_models_are_in_1.58_bits
2024-02_tinyllm_learning_a_small_student_from_multiple_large_language_models
2024-02_weblinx_real-world_website_navigation_with_multi-turn_dialogue
2024-03_collaborative_quest_completion_with_llm-driven_non-player_characters_in_minecraft
2024-03_diffusion-reinforcement_learning_hierarchical_motion_planning_in_adversarial_multi-agent_games
2024-03_dipaco_distributed_path_composition
2024-03_evaluate_llms_in_real_time_with_street_fighter_iii
2024-03_explorllm_guiding_exploration_in_reinforcement_learning_with_large_language_models
2024-03_galore_memory-efficient_llm_training_by_gradient_low-rank_projection
2024-03_gemma_open_models_based_on_gemini_research_and_technology
2024-03_parameter-efficient_fine-tuning_for_large_models_a_comprehensive_survey
2024-03_stop_regressing_training_value_functions_via_classification_for_scalable_deep_rl
2024-04_a_survey_on_efficient_inference_for_large_language_models
2024-04_a_survey_on_integration_of_large_language_models_with_intelligent_robots
2024-04_a_survey_on_self-evolution_of_large_language_models
2024-04_a_survey_on_the_memory_mechanism_of_large_language_model_based_agents
2024-04_measuring_diversity_of_game_scenarios
2024-04_megalodon_efficient_llm_pretraining_and_inference_with_unlimited_context_length
2024-04_openelm_an_efficient_language_model_family_with_open-source_training_and_inference_framework
2024-04_player-driven_emergence_in_llm-driven_game_narrative
2024-04_pre-training_small_base_lms_with_fewer_tokens
2024-04_the_illusion_of_state_in_state-space_models
2024-04_toward_self-improvement_of_llms_via_imagination_searching_and_criticizing
2024-04_transformer_based_planning_in_the_observation_space_with_applications_to_trick_taking_card_games
2024-04_video2game_real-time_interactive_realistic_and_browser-compatible_environment_from_a_single_video
2024-06_a_super-human_vision-based_reinforcement_learning_agent_for_autonomous_racing_in_gran_turismo
2024-06_smplolympics_sports_environments_for_physically_simulated_humanoids
2024-07_autoverse_an_evolvable_game_langugage_for_learning_robust_embodied_agents
2024-07_craftium_an_extensible_framework_for_creating_reinforcement_learning_environments
2024-07_diffusion_forcing_next-token_prediction_meets_full-sequence_diffusion
2024-07_opendiloco_an_open-source_framework_for_globally_distributed_low-communication_training
2024-07_q-galore_quantized_galore_with_int4_projection_and_layer-adaptive_low-rank_gradients
2024-08_diffusion_models_are_real-time_game_engines
2024-08_pcgrl_scaling_control_and_generalization_in_reinforcement_learning_level_generators
2024-10-31_project_sid_many-agent_simulations_toward_ai_civilization
2024-10_dart_a_diffusion-based_autoregressive_motion_model_for_real-time_text-driven_motion_control
2024-10_fira_can_we_achieve_full-rank_training_of_llms_under_low-rank_constraint
2024-10_mamba_in_vision_a_comprehensive_survey_of_techniques_and_applications
2024-11_beyond_the_boundaries_of_proximal_policy_optimization
2024-11_transformers_are_multi-state_rnns
2025-01_streaming_diloco_with_overlapping_communication_towards_a_distributed_free_lunch
2025-02_llm_post-training_a_deep_dive_into_reasoning_large_language_models
ai-gas_ai-generating_algorithms_an_alternate_paradigm_for_producing_general_artificial_intelligence
automl-zero_evolving_machine_learning_algorithms_from_scratch
a_generalized_framework_for_population_based_training
a_self-tuning_actor-critic_algorithm
big_bird_transformers_longer_sequences
co-generation_of_game_levels_and_game-playing_agents
collaborative_agent_gameplay_in_the_pandemic_board_game
curl_contrastive_unsupervised_representations_for_reinforcement_learning
duality_a_new_approach_to_reinforcement_learning
evolutionary_population_curriculum_for_scaling_multi-agent_reinforcement_learning
evolutionary_reinforcement_learning_for_sample-efficient_multiagent_coordination
expected_eligibility_traces
generative_pretraining_from_pixels
generative_teaching_networks_accelerating_neural_architecture_search_by_learning_to_generate_synthetic_training_data
illuminating_mario_scenes_in_the_latent_space_of_a_generative_adversarial_network
improving_language_understanding_by_generative_pre-training
language_models_are_unsupervised_multitask_learners
learning_to_continually_learn
multiagent_evaluation_under_incomplete_information
paired_a_new_multi-agent_approach_for_adversarial_environment_generation
perception-prediction-reaction_agents_for_deep_reinforcement_learning
policy_optimization_by_genetic_distillation
qmix_monotonic_value_function_factorisation_for_deep_multi-agent_reinforcement_learning
ray_interference_a_source_of_plateaus_in_deep_reinforcement_learning
reinforcement_learning_with_unsupervised_auxiliary_tasks
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