IEEE

Federated Offline Reinforcement Learning with Proximal Policy Evaluation

Abstract: Offline reinforcement learning (RL) has gathered increasing attention in recent years, which seeks to learn policies from static datasets without active online exploration. However, the ...

This open-source tool uses AI to translate Japanese retro games on the fly

Developer Bertrand Quenin recently released an open-source project called "Interpreter" that aims to provide real-time translation for Japanese retro games. The tool can capture Japanese text ...
IEEE

Toward Reliable Offline Reinforcement Learning via Lyapunov Uncertainty Control

Abstract: Learning trustworthy and reliable offline policies presents significant challenges due to the inherent uncertainty in pre-collected datasets. In this article, we propose a novel offline ...
GitHub

MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning

We study the off-dynamics offline reinforcement learning (RL) problem, where the goal is to learn a policy from offline datasets collected from source and target domains with mismatched transition ...