RadDQN: a Deep Q Learning-based Architecture for Finding Time-efficient Minimum Radiation Exposure Pathwayby Biswajit Sadhu,…
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Gameby Guangzheng Hu, Yuanheng Zhu, Haoran…
Enhancing End-to-End Multi-Task Dialogue Systems: A Study on Intrinsic Motivation Reinforcement Learning Algorithms for Improved…
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programmingby Haotian Ling, Zhihai Wang, Jie…
Attention-based Reinforcement Learning for Combinatorial Optimization: Application to Job Shop Scheduling Problemby Jaejin Lee, Seho…
Active Inference as a Model of Agencyby Lancelot Da Costa, Samuel Tenka, Dominic Zhao, Noor…
HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environmentsby Qinhong Zhou, Sunli Chen, Yisong Wang,…
Towards Socially and Morally Aware RL agent: Reward Design With LLMby Zhaoyue WangFirst submitted to…
Tiny Multi-Agent DRL for Twins Migration in UAV Metaverses: A Multi-Leader Multi-Follower Stackelberg Game Approachby…
EgoGen: An Egocentric Synthetic Data Generatorby Gen Li, Kaifeng Zhao, Siwei Zhang, Xiaozhong Lyu, Mihai…