Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policiesby Finn Rietz, Erik Schaffernicht, Stefan Heinrich,…
Constrained Reinforcement Learning Under Model Mismatchby Zhongchang Sun, Sihong He, Fei Miao, Shaofeng ZouFirst submitted…
Tabular and Deep Reinforcement Learning for Gittins Indexby Harshit Dhankhar, Kshitij Mishra, Tejas BodasFirst submitted…
Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedbackby…
Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learningby Calarina Muslimani, Matthew E. TaylorFirst submitted to arxiv…
Queue-based Eco-Driving at Roundabouts with Reinforcement Learningby Anna-Lena Schlamp, Werner Huber, Stefanie SchmidtnerFirst submitted to…
HUGO – Highlighting Unseen Grid Options: Combining Deep Reinforcement Learning with a Heuristic Target Topology…
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPOby Skander Moalla, Andrea…
Adapting Open-Source Large Language Models for Cost-Effective, Expert-Level Clinical Note Generation with On-Policy Reinforcement Learningby…
UCB-driven Utility Function Search for Multi-objective Reinforcement Learningby Yucheng Shi, Alexandros Agapitos, David Lynch, Giorgio…