TAG: google

2015-11 Policy Distillation	2021/12/22 16:56	Hyunsoo Park
2018-03 World Models	2020/07/30 15:30	Hyunsoo Park
2018-11 QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation	2021/07/21 22:27	Hyunsoo Park
2019-04 Evolving Rewards to Automate Reinforcement Learning	2021/07/29 16:48	Hyunsoo Park
2020-06 Rigging the Lottery: Making All Tickets Winners	2021/07/18 14:16	Hyunsoo Park
2020-10 Massively Large-Scale Distributed Reinforcement Learning with Menger	2020/10/05 18:27	Hyunsoo Park
2020-11 Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour	2020/11/15 17:55	Hyunsoo Park
2020-12 The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction	2020/07/22 14:09	Hyunsoo Park
2021-01 Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation	2021/06/28 14:37	Hyunsoo Park
2021-02 [PAIRED] Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design	2021/03/09 18:54	Hyunsoo Park
2021-03 Pay Attention to MLPs	2021/07/27 01:33	Hyunsoo Park
2021-04 EfficientNetV2: Smaller Models and Faster Training	2021/07/27 01:37	Hyunsoo Park
2021-06 Extracting Training Data from Large Language Models	2021/07/17 06:57	Hyunsoo Park
2021-07 Reasoning-Modulated Representations	2021/07/21 20:52	Hyunsoo Park
2021-07 Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot	2021/07/19 03:00	Hyunsoo Park
2022-05 Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games	2024/01/08 06:51	Hyunsoo Park
2023-03 [SIMA] Scaling Instructable Agents Across Many Simulated Worlds	2024/04/14 15:45	Hyunsoo Park
2023-05 Deep Reinforcement Learning with Plasticity Injection	2024/01/09 23:01	Hyunsoo Park
2023-10 [IPO] A General Theoretical Paradigm to Understand Learning from Human Preferences	2024/02/07 09:55	Hyunsoo Park
2023-12 DiLoCo: Distributed Low-Communication Training of Language Models	2024/01/10 23:19	Hyunsoo Park
2024-01 [SPO] A Minimaximalist Approach to Reinforcement Learning from Human Feedback	2024/01/11 00:20	Hyunsoo Park
2024-01 Asynchronous Local-SGD Training for Language Modeling	2024/01/18 05:07	Hyunsoo Park
2024-01 Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation	2024/01/18 00:29	Hyunsoo Park
2024-01 Towards Conversational Diagnostic AI	2024/01/22 01:39	Hyunsoo Park
2024-01 WARM: On the Benefits of Weight Averaged Reward Models	2024/01/23 14:28	Hyunsoo Park
2024-02 Genie: Generative Interactive Environments	2024/07/08 00:25	Hyunsoo Park
2024-03 DiPaCo: Distributed Path Composition	2024/03/28 06:47	Hyunsoo Park
2024-03 Gemma: Open Models Based on Gemini Research and Technology	2024/04/17 07:57	Hyunsoo Park
2024-03 Stop Regressing: Training Value Functions via Classification for Scalable Deep RL	2024/04/10 05:24	Hyunsoo Park
2025-01 Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch	2025/02/03 01:11	Hyunsoo Park
Attention Is All You Need	2020/07/23 14:51	Hyunsoo Park
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2020/07/23 15:04	Hyunsoo Park
Big Bird: Transformers for Longer Sequences	2020/08/05 23:13	Hyunsoo Park
Deep Reinforcement Learning amidst Lifelong Non-Stationarity	2020/07/25 04:57	Hyunsoo Park
Hyperbolic Discounting and Learning over Multiple Horizons	2020/07/23 15:32	Hyunsoo Park
Neuroevolution of Self-Interpretable Agents	2020/07/25 04:33	Hyunsoo Park
Online Hyper-parameter Tuning in Off-policy Learning via Evolutionary Strategies	2020/07/22 15:11	Hyunsoo Park
PAIRED: A New Multi-agent Approach for Adversarial Environment Generation	2021/03/07 18:30	Hyunsoo Park
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research	2021/07/14 13:28	Hyunsoo Park
Revisiting Small Batch Training for Deep Neural Networks	2020/07/23 14:13	Hyunsoo Park
Strategies for Structuring Story Generation	2020/07/25 04:48	Hyunsoo Park
The Value Function Polytope in Reinforcement Learning	2020/07/23 14:30	Hyunsoo Park