research
∙
02/08/2022
Provable Reinforcement Learning with a Short-Term Memory
Real-world sequential decision making problems commonly involve partial ...
share
research
∙
07/12/2021
A Simple Reward-free Approach to Constrained Reinforcement Learning
In constrained reinforcement learning (RL), a learning agent seeks to no...
research
∙
02/01/2021
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
Finding the minimal structural assumptions that empower sample-efficient...
research
∙
06/09/2020
Constrained episodic reinforcement learning in concave-convex and knapsack settings
We propose an algorithm for tabular episodic reinforcement learning with...
research
∙
06/21/2019