research
∙
01/30/2023
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning
We propose A-Crab (Actor-Critic Regularized by Average Bellman error), a...
share
research
∙
11/01/2022
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
Offline reinforcement learning (RL), which refers to decision-making fro...
research
∙
06/18/2021
MADE: Exploration via Maximizing Deviation from Explored Regions
In online reinforcement learning (RL), efficient exploration remains par...
research
∙
03/22/2021
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
Offline (or batch) reinforcement learning (RL) algorithms seek to learn ...
research
∙
10/12/2020