research
∙
11/23/2021
Adaptive Multi-Goal Exploration
We introduce a generic strategy for provably efficient multi-goal explor...
share
research
∙
03/01/2021
UCB Momentum Q-learning: Correcting the bias without forgetting
We propose UCBMQ, Upper Confidence Bound Momentum Q-learning, a new algo...
research
∙
10/07/2020
Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited
In this paper, we propose new problem-independent lower bounds on the sa...
research
∙
07/27/2020
Fast active learning for pure exploration in reinforcement learning
Realistic environments often provide agents with very limited feedback. ...
research
∙
07/09/2020
A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces
In this work, we propose KeRNS: an algorithm for episodic reinforcement ...
research
∙
06/11/2020
Adaptive Reward-Free Exploration
Reward-free exploration is a reinforcement learning setting recently stu...
research
∙
06/10/2020
Planning in Markov Decision Processes with Gap-Dependent Sample Complexity
We propose MDP-GapE, a new trajectory-based Monte-Carlo Tree Search algo...
research
∙
04/12/2020
