Explore-Go: Leveraging Exploration for Generalisation in Deep Reinforcement Learningby Max Weltevrede, Felix Kaubek, Matthijs T.J.…
A Finite-Sample Analysis of an Actor-Critic Algorithm for Mean-Variance Optimization in a Discounted MDPby Tejaram…
When Do Skills Help Reinforcement Learning? A Theoretical Analysis of Temporal Abstractionsby Zhening Li, Gabriel…
Near-Optimal Learning and Planning in Separated Latent MDPsby Fan Chen, Constantinos Daskalakis, Noah Golowich, Alexander…
Reinforcement Learning for High-Level Strategic Control in Tower Defense Gamesby Joakim Bergdahl, Alessandro Sestini, Linus…
Unifying Interpretability and Explainability for Alzheimer’s Disease Progression Predictionby Raja Farrukh Ali, Stephanie Milani, John…
The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithmby Giseung Park,…
Carbon Market Simulation with Adaptive Mechanism Designby Han Wang, Wenhao Li, Hongyuan Zha, Baoxiang WangFirst…
Small Scale Data-Free Knowledge Distillationby He Liu, Yikai Wang, Huaping Liu, Fuchun Sun, Anbang YaoFirst…
OPTune: Efficient Online Preference Tuningby Lichang Chen, Jiuhai Chen, Chenxi Liu, John Kirchenbauer, Davit Soselia,…