Hybrid-Generative Diffusion Models for Attack-Oriented Twin Migration in Vehicular Metaversesby Yingkai Kang, Jinbo Wen, Jiawen…
Cooperative Reward Shaping for Multi-Agent Pathfindingby Zhenyu Song, Ronghao Zheng, Senlin Zhang, Meiqin LiuFirst submitted…
AlphaDou: High-Performance End-to-End Doudizhu AI Integrating Biddingby Chang Lei, Huan LeiFirst submitted to arxiv on:…
Preserving the Privacy of Reward Functions in MDPs through Deceptionby Shashank Reddy Chirra, Pradeep Varakantham,…
Constrained Intrinsic Motivation for Reinforcement Learningby Xiang Zheng, Xingjun Ma, Chao Shen, Cong WangFirst submitted…
Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environmentsby Zoya Volovikova, Alexey Skrynnik, Petr Kuderov,…
Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Decision-Making in Dynamic Environmentby Jayabrata Chowdhury, Venkataramanan…
MetaUrban: An Embodied AI Simulation Platform for Urban Micromobilityby Wayne Wu, Honglin He, Jack He,…
Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasksby Pu Feng, Junkang Liang, Size Wang,…
Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Modelsby Logan Cross,…