research
∙
05/19/2023
Learning Diverse Risk Preferences in Population-based Self-play
Among the great successes of Reinforcement Learning (RL), self-play algo...
share
research
∙
02/27/2023
The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning
Self-supervised methods have become crucial for advancing deep learning ...
research
∙
09/14/2022
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation
Among the reasons hindering reinforcement learning (RL) applications to ...
research
∙
06/15/2022
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning
Keeping risk under control is often more crucial than maximizing expecte...
research
∙
06/07/2022
On the Role of Discount Factor in Offline Reinforcement Learning
Offline reinforcement learning (RL) enables effective learning from prev...
research
∙
10/19/2021
Offline Reinforcement Learning with Value-based Episodic Memory
Offline reinforcement learning (RL) shows promise of applying RL to real...
research
∙
10/07/2021
MGPSN: Motion-Guided Pseudo Siamese Network for Indoor Video Head Detection
Head detection in real-world videos is an important research topic in co...
research
∙
06/07/2021
Average-Reward Reinforcement Learning with Trust Region Methods
Most of reinforcement learning algorithms optimize the discounted criter...
research
∙
06/07/2021
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning
Learning from datasets without interaction with environments (Offline Le...
research
∙
02/10/2021
Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning
Value-based methods of multi-agent reinforcement learning (MARL), especi...
research
∙
06/25/2020
SOAC: The Soft Option Actor-Critic Architecture
The option framework has shown great promise by automatically extracting...
research
∙
04/30/2020