ICML 2024 "function approximation" Papers
7 papers found
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints
Akhil Agnihotri, Rahul Jain, Haipeng Luo
ICML 2024posterarXiv:2302.00808
Characterizing ResNet's Universal Approximation Capability
Chenghao Liu, Enming Liang, Minghua Chen
ICML 2024poster
Imitation Learning in Discounted Linear MDPs without exploration assumptions
Luca Viano, EFSTRATIOS PANTELEIMON SKOULAKIS, Volkan Cevher
ICML 2024posterarXiv:2405.02181
Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL
Jiawei Huang, Niao He, Andreas Krause
ICML 2024posterarXiv:2402.05724
Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback
Asaf Cassel, Haipeng Luo, Aviv Rosenberg et al.
ICML 2024posterarXiv:2405.07637
On The Statistical Complexity of Offline Decision-Making
Thanh Nguyen-Tang, Raman Arora
ICML 2024posterarXiv:2501.06339
Vocabulary for Universal Approximation: A Linguistic Perspective of Mapping Compositions
Yongqiang Cai
ICML 2024spotlightarXiv:2305.12205