Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applicationsby Jie Hu,…
Continuous Time Continuous Space Homeostatic Reinforcement Learning (CTCS-HRRL) : Towards Biological Self-Autonomous Agentby Hugo Laurencon,…
Bridging State and History Representations: Understanding Self-Predictive RLby Tianwei Ni, Benjamin Eysenbach, Erfan Seyedsalehi, Michel…
DeLF: Designing Learning Environments with Foundation Modelsby Aida Afshar, Wenchao LiFirst submitted to arxiv on:…
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedbackby Teng Xiao, Suhang WangFirst submitted…
Learning from Sparse Offline Datasets via Conservative Density Estimationby Zhepeng Cen, Zuxin Liu, Zitong Wang,…
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processesby David Ireland, Giovanni MontanaFirst submitted to…
An Integrated Imitation and Reinforcement Learning Methodology for Robust Agile Aircraft Control with Limited Pilot…
Deep Reinforcement Learning for Multi-Truck Vehicle Routing Problems with Multi-Leg Demand Routesby Joshua Levin, Randall…
Solving Continual Offline Reinforcement Learning with Decision Transformerby Kaixin Huang, Li Shen, Chen Zhao, Chun…