research
∙
11/20/2022
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation
Learning new task-specific skills from a few trials is a fundamental cha...
share
research
∙
11/26/2021
Learning Long-Term Reward Redistribution via Randomized Return Decomposition
Many practical applications of reinforcement learning require agents to ...
research
∙
09/29/2021
On the Estimation Bias in Double Q-Learning
Double Q-learning is a classical method for reducing overestimation bias...
research
∙
06/22/2021
Off-Policy Reinforcement Learning with Delayed Rewards
We study deep reinforcement learning (RL) algorithms with delayed reward...
research
∙
03/11/2021
Generalizable Episodic Memory for Deep Reinforcement Learning
Episodic memory-based methods can rapidly latch onto past successful str...
research
∙
08/03/2020
QPLEX: Duplex Dueling Multi-Agent Q-Learning
We explore value-based multi-agent reinforcement learning (MARL) in the ...
research
∙
05/31/2020
Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning
Value decomposition is a popular and promising approach to scaling up mu...
research
∙
06/10/2019
Exploration via Hindsight Goal Generation
Goal-oriented reinforcement learning has recently been a practical frame...
research
∙
04/16/2019
