Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainabilityby Pooja Aslami,…
That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for Chip Designby Anna…
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learningby Moritz Schneider, Robert Krug,…
Fair Resource Allocation in Weakly Coupled Markov Decision Processesby Xiaohui Tu, Yossiri Adulyasak, Nima Akbarzadeh,…
InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemmaby Xiaoxuan…
Statistical Analysis of Policy Space Compression Problemby Majid Molaei, Marcello Restelli, Alberto Maria Metelli, Matteo…
Iterative Batch Reinforcement Learning via Safe Diversified Model-based Policy Searchby Amna Najib, Stefan Depeweg, Phillip…
To bootstrap or to rollout? An optimal and adaptive interpolationby Wenlong Mou, Jian QianFirst submitted…
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignmentby Yuang Cai, Yuyu Yuan,…
CHAI for LLMs: Improving Code-Mixed Translation in Large Language Models through Reinforcement Learning with AI…