research
∙
06/27/2023
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
In recent years, data-driven reinforcement learning (RL), also known as ...
share
research
∙
06/12/2023
Ensemble-based Offline-to-Online Reinforcement Learning: From Pessimistic Learning to Optimistic Exploration
Offline reinforcement learning (RL) is a learning paradigm where an agen...
research
∙
06/10/2023
HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach
Offline reinforcement learning (ORL) has gained attention as a means of ...
research
∙
10/02/2022
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
Unsupervised reinforcement learning (URL) poses a promising paradigm to ...
research
∙
12/06/2021
ED2: An Environment Dynamics Decomposition Framework for World Model Construction
Model-based reinforcement learning methods achieve significant sample ef...
research
∙
09/14/2021
