Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guaranteesby Cangqing Wang, Mingxiu Sui,…
Optimizing Search Advertising Strategies: Integrating Reinforcement Learning with Generalized Second-Price Auctions for Enhanced Ad Ranking…
Efficient Imitation Learning with Conservative World Modelsby Victor Kolev, Rafael Rafailov, Kyle Hatch, Jiajun Wu,…
Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationingby Amutheezan Sivagnanam, Ava Pettet, Hunter…
CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Researchby Andreas W M Sauter, Erman Acar, Aske…
Energy Rank Alignment: Using Preference Optimization to Search Chemical Space at Scaleby Shriram Chennakesavalu, Frank…
Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farmsby Mian Ibad Ali Shah, Enda Barrett,…
Diffusion for World Modeling: Visual Details Matter in Atariby Eloi Alonso, Adam Jelley, Vincent Micheli,…
A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedbackby Kihyun…
GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle Routing Problemsby Zhenwei Wang, Ruibin…