82 citations · 98 across the 26 of their papers we have counts for
3 papers · 1 filter
Fine-tuning Behavioral Cloning Policies with Preference-Based Reinforcement Learning
Maël Macuglia, Paul Friedrich, Giorgia Ramponi
Deploying reinforcement learning (RL) in robotics, industry, and health care is blocked by two obstacles: the difficulty of specifying accurate rewards and the risk of unsafe, data…
Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games
David Guzman Piedrahita, Yongjin Yang, Mrinmaya Sachan +3
As large language models (LLMs) are increasingly deployed as autonomous agents, understanding their cooperation and social mechanisms is becoming increasingly important. In particu…
Dual Formulation for Non-Rectangular Lp Robust Markov Decision Processes
Navdeep Kumar, Adarsh Gupta, Maxence Mohamed Elfatihi +3
We study robust Markov decision processes (RMDPs) with non-rectangular uncertainty sets, which capture interdependencies across states unlike traditional rectangular models. While…