most citedGenerative AI and LLMs in Industry: A text-mining Analysis and Critical Evaluation of Guidelines and Policy Statements Across Fourteen Industrial Sectors

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cs.LG2026

Entropy-Preserving Reinforcement Learning

Aleksei Petrenko, Ben Lipkin, Kevin Chen +4

Policy gradient algorithms have driven many recent advancements in language model reasoning. An appealing property is their ability to learn from exploration on their own trajector…

cs.LG2025

Reinforcement Learning for Long-Horizon Interactive LLM Agents

Kevin Chen, Marco Cusumano-Towner, Brody Huval +4

Interactive digital agents (IDAs) leverage APIs of stateful digital environments to perform tasks in response to user requests. While IDAs powered by instruction-tuned large langua…