Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Modelsby Masatoshi Uehara, Yulai…
Diffusion Policies creating a Trust Region for Offline Reinforcement Learningby Tianyu Chen, Zhendong Wang, Mingyuan…
Dynamic feature selection in medical predictive monitoring by reinforcement learningby Yutong Chen, Jiandong Gao, Ji…
Stress-Testing Capability Elicitation With Password-Locked Modelsby Ryan Greenblatt, Fabien Roger, Dmitrii Krasheninnikov, David KruegerFirst submitted…
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learningby Mingqi Yuan, Roger Creus Castanyer, Bo Li, Xin…
Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Groundingby Shenghuan Sun, Alexander Schubert, Gregory M. Goldgof,…
Robust Preference Optimization through Reward Model Distillationby Adam Fisch, Jacob Eisenstein, Vicky Zayats, Alekh Agarwal,…
Safety through Permissibility: Shield Construction for Fast and Safe Reinforcement Learningby Alexander Politowicz, Sahisnu Mazumder,…
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environmentsby Han Wang, Sihong He,…
Exploring the impact of traffic signal control and connected and automated vehicles on intersections safety:…