TAG: 2021

2021-01 Addressing Some Limitations of Transformers with Feedback Memory	2021/07/17 13:45	Hyunsoo Park
2021-01 Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation	2021/06/28 14:37	Hyunsoo Park
2021-01 Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft	2021/06/29 18:10	Hyunsoo Park
2021-01 What Can I Do Here? Learning New Skills by Imagining Visual Affordances	2021/07/26 09:19	Hyunsoo Park
2021-01 World-GAN: a Generative Model for Minecraft Worlds	2021/07/18 15:03	Hyunsoo Park
2021-01 ZeRO-Offload: Democratizing Billion-Scale Model Training	2021/07/17 16:42	Hyunsoo Park
2021-01 Zero-Shot Text-to-Image Generation	2021/02/28 14:56	Hyunsoo Park
2021-02 [PAIRED] Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design	2021/03/09 18:54	Hyunsoo Park
2021-02 First return, then explore	2021/07/18 14:41	Hyunsoo Park
2021-02 Learning Transferable Visual Models From Natural Language Supervision	2021/07/17 14:21	Hyunsoo Park
2021-03 Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation	2021/07/20 04:23	Hyunsoo Park
2021-03 Meta-Learning through Hebbian Plasticity in Random Networks	2020/07/09 22:05	Hyunsoo Park
2021-03 Pay Attention to MLPs	2021/07/27 01:33	Hyunsoo Park
2021-03 TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL	2021/07/26 13:20	Hyunsoo Park
2021-04 Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills	2021/07/26 09:15	Hyunsoo Park
2021-04 Counter-Strike Deathmatch with Large-Scale Behavioural Cloning	2024/01/10 04:27	Hyunsoo Park
2021-04 EfficientNetV2: Smaller Models and Faster Training	2021/07/27 01:37	Hyunsoo Park
2021-04 RECON: Rapid Exploration for Open-World Navigation with Latent Goal Models	2021/12/10 18:10	Hyunsoo Park
2021-04 Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention	2021/07/26 08:29	Hyunsoo Park
2021-04 ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning	2021/07/20 07:45	Hyunsoo Park
2021-06 Decision Transformer: Reinforcement Learning via Sequence Modeling	2021/07/17 15:51	Hyunsoo Park
2021-06 Extracting Training Data from Large Language Models	2021/07/17 06:57	Hyunsoo Park
2021-06 Reinforcement Learning as One Big Sequence Modeling Problem	2021/07/17 15:41	Hyunsoo Park
2021-06 Transformer-based Conditional Variational Autoencoder for Controllable Story Generation	2021/07/17 14:31	Hyunsoo Park
2021-07 [GOAT] Open-Ended Learning Leads to Generally Capable Agents	2021/07/28 01:11	Hyunsoo Park
2021-07 [MBRL] High-Accuracy Model-Based Reinforcement Learning, a Survey	2021/07/20 05:09	Hyunsoo Park
2021-07 Conservative Objective Models for Effective Offline Model-Based Optimization	2021/07/19 03:18	Hyunsoo Park
2021-07 Epistemic Neural Networks	2021/07/20 04:47	Hyunsoo Park
2021-07 Few-shot Neural Architecture Search	2021/07/20 04:06	Hyunsoo Park
2021-07 Generative adversarial networks in time series: A survey and taxonomy	2021/07/26 09:25	Hyunsoo Park
2021-07 Habitat 2.0: Training Home Assistants to Rearrange their Habitat	2021/07/21 21:51	Hyunsoo Park
2021-07 Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction	2021/07/06 17:24	Hyunsoo Park
2021-07 Lottery Ticket Preserves Weight Correlation: Is it Desirable or Not?	2021/07/20 04:41	Hyunsoo Park
2021-07 Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning	2021/07/21 21:24	Hyunsoo Park
2021-07 Megaverse: Simulating Embodied Agents at One Million Experiences per Second	2021/07/20 05:29	Hyunsoo Park
2021-07 MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning	2021/07/19 03:34	Hyunsoo Park
2021-07 Offline Meta-Reinforcement Learning with Online Self-Supervision	2021/07/28 01:15	Hyunsoo Park
2021-07 Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation	2021/07/19 03:25	Hyunsoo Park
2021-07 Perceiver IO: A General Architecture for Structured Inputs & Outputs	2021/08/04 01:07	Hyunsoo Park
2021-07 Pragmatic Image Compression for Human-in-the-Loop Decision-Making	2021/07/26 09:09	Hyunsoo Park
2021-07 Pruning Ternary Quantization	2021/07/26 09:32	Hyunsoo Park
2021-07 Reasoning-Modulated Representations	2021/07/21 20:52	Hyunsoo Park
2021-07 Reinforcement Learning with Prototypical Representations	2021/07/21 21:11	Hyunsoo Park
2021-07 Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot	2021/07/19 03:00	Hyunsoo Park
2021-07 Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN	2021/07/20 05:01	Hyunsoo Park
2021-07 Vector Quantized Models for Planning	2021/08/05 06:03	Hyunsoo Park
2021-07 Visual Adversarial Imitation Learning using Variational Models	2021/07/26 11:34	Hyunsoo Park
2021-08 [GAN] GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation using Generative Adversarial Network	2021/08/10 02:26	Hyunsoo Park
2021-09 [PBT] Faster Improvement Rate Population Based Training	2021/09/30 01:27	Hyunsoo Park
2021-10 Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation	2021/10/18 09:22	Hyunsoo Park
2021-10 Embodied intelligence via learning and evolution	2021/10/31 12:24	Hyunsoo Park
2021-10 Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity	2021/10/11 20:59	Hyunsoo Park
2021-10 Planning from Pixels in Environments with Combinatorially Hard Search Spaces	2021/10/13 07:18	Hyunsoo Park
2021-10 PLR: Replay-Guided Adversarial Environment Design	2021/12/10 17:43	Hyunsoo Park
2021-11 Procedural Generalization by Planning with Self-Supervised World Models	2021/11/03 02:50	Hyunsoo Park
2021-12 D star plus: A Generic Platform-Agnostic and Risk-Aware Path Planing Framework with an Expandable Grid	2021/12/13 12:34	Hyunsoo Park
2021-12 Differentiable Spatial Planning using Transformers	2021/12/07 16:27	Hyunsoo Park
PAIRED: A New Multi-agent Approach for Adversarial Environment Generation	2021/03/07 18:30	Hyunsoo Park
Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots	2021/07/03 08:58	Hyunsoo Park
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research	2021/07/14 13:28	Hyunsoo Park
Synthetic Returns for Long-Term Credit Assignment	2021/03/25 21:19	Hyunsoo Park
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability, 2021-07	2021/07/14 18:01	Hyunsoo Park