research
∙
11/17/2021
Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance
Recently, Truncated Quantile Critics (TQC), using distributional represe...
share
research
∙
06/14/2021
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
We develop theory and algorithms for average-reward on-policy Reinforcem...
research
∙
02/16/2020
First Order Optimization in Policy Space for Constrained Deep Reinforcement Learning
In reinforcement learning, an agent attempts to learn high-performing be...
research
∙
06/02/2018
Efficient Entropy for Policy Gradient with Multidimensional Action Space
In recent years, deep reinforcement learning has been shown to be adept ...
research
∙
05/29/2018
