DeepMind

2019-10 [VMPO] V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control	2020/06/05 17:22	Hyunsoo Park
2019-10 Grandmaster level in StarCraft II using multi-agent reinforcement learning	2020/07/12 04:38	Hyunsoo Park
2020-05 [MO-VMPO] A Distributional View on Multi-Objective Policy Optimization	2020/06/04 18:28	Hyunsoo Park
2020-10 [MuZero] Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model	2020/07/12 04:42	Hyunsoo Park
2021-07 [GOAT] Open-Ended Learning Leads to Generally Capable Agents	2021/07/28 01:11	Hyunsoo Park
2021-07 Vector Quantized Models for Planning	2021/08/05 06:03	Hyunsoo Park
2021-09 [PBT] Faster Improvement Rate Population Based Training	2021/09/30 01:27	Hyunsoo Park
2021-11 Procedural Generalization by Planning with Self-Supervised World Models	2021/11/03 02:50	Hyunsoo Park

Full list

2016-08 [PopArt] Learning values across many orders of magnitude	2021/11/29 15:51	Hyunsoo Park
2017-11 Neural Discrete Representation Learning	2021/08/05 05:46	Hyunsoo Park
2018-06 [MPO] Maximum a Posteriori Policy Optimisation	2021/08/24 14:02	Hyunsoo Park
2018-07 Human-level performance in first-person multiplayer games with population-based deep reinforcement learning	2021/09/30 16:23	Hyunsoo Park
2019-05 Open-ended Learning in Symmetric Zero-sum Games	2020/07/25 04:30	Hyunsoo Park
2019-10 [VMPO] V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control	2020/06/05 17:22	Hyunsoo Park
2019-10 Grandmaster level in StarCraft II using multi-agent reinforcement learning	2020/07/12 04:38	Hyunsoo Park
2020-05 [MO-VMPO] A Distributional View on Multi-Objective Policy Optimization	2020/06/04 18:28	Hyunsoo Park
2020-06 Rigging the Lottery: Making All Tickets Winners	2021/07/18 14:16	Hyunsoo Park
2020-07 Hyperparameter Selection for Offline Reinforcement Learning	2020/07/20 12:51	Hyunsoo Park
2020-10 [MuZero] Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model	2020/07/12 04:42	Hyunsoo Park
2020-10 Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess	2020/09/10 14:13	Hyunsoo Park
2020-12 DeepMind Lab2D	2021/07/18 12:34	Hyunsoo Park
2020-12 Relative Variational Intrinsic Control	2021/07/17 07:04	Hyunsoo Park
2020-12 The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction	2020/07/22 14:09	Hyunsoo Park
2021-07 [GOAT] Open-Ended Learning Leads to Generally Capable Agents	2021/07/28 01:11	Hyunsoo Park
2021-07 Epistemic Neural Networks	2021/07/20 04:47	Hyunsoo Park
2021-07 Perceiver IO: A General Architecture for Structured Inputs & Outputs	2021/08/04 01:07	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
2021-07 Vector Quantized Models for Planning	2021/08/05 06:03	Hyunsoo Park
2021-09 [PBT] Faster Improvement Rate Population Based Training	2021/09/30 01:27	Hyunsoo Park
2021-10 Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity	2021/10/11 20:59	Hyunsoo Park
2021-11 Procedural Generalization by Planning with Self-Supervised World Models	2021/11/03 02:50	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 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
A Generalized Framework for Population Based Training	2020/07/04 16:56	Hyunsoo Park
A Self-Tuning Actor-Critic Algorithm	2021/02/26 08:11	Hyunsoo Park
Compressive Transformer	2020/02/11 17:24	Hyunsoo Park
CrossTransformers: spatially-aware few-shot transfer	2020/07/25 03:58	Hyunsoo Park
Duality — A New Approach to Reinforcement Learning	2020/07/09 21:06	Hyunsoo Park
Expected Eligibility Traces	2020/07/09 20:53	Hyunsoo Park
Gaussian Gated Linear Networks	2020/07/25 04:40	Hyunsoo Park
MEMO: A Deep Network for Flexible Combination of Episodic Memories	2020/07/25 04:05	Hyunsoo Park
Multiagent Evaluation under Incomplete Information	2020/06/18 04:41	Hyunsoo Park
Perception-Prediction-Reaction Agents for Deep Reinforcement Learning	2020/06/30 15:06	Hyunsoo Park
Python: Pycolab	2021/07/18 11:42	Hyunsoo Park
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning	2020/07/09 19:49	Hyunsoo Park
Reinforcement Learning with Unsupervised Auxiliary Tasks	2020/07/11 22:21	Hyunsoo Park
Synthetic Returns for Long-Term Credit Assignment	2021/03/25 21:19	Hyunsoo Park
Tutorial: Multi-Agent Learning	2020/06/18 04:42	Hyunsoo Park