"value function approximation" Papers
9 papers found
Conference
Computational Hardness of Reinforcement Learning with Partial $q^{\pi}$-Realizability
Shayan Karimi, Xiaoqi Tan
NEURIPS 2025
Deep learning for continuous-time stochastic control with jumps
Patrick Cheridito, Jean-Loup Dupret, Donatien Hainaut
NEURIPS 2025arXiv:2505.15602
3
citations
Generalizable Motion Planning via Operator Learning
Sharath Matada, Luke Bhan, Yuanyuan Shi et al.
ICLR 2025arXiv:2410.17547
2
citations
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Samuel Garcin, Trevor McInroe, Pablo Samuel Castro et al.
ICLR 2025arXiv:2503.06343
5
citations
Learning the Target Network in Function Space
Kavosh Asadi, Yao Liu, Shoham Sabach et al.
ICML 2024arXiv:2406.01838
1
citations
Parameterized Projected Bellman Operator
Théo Vincent, Alberto Maria Metelli, Boris Belousov et al.
AAAI 2024paperarXiv:2312.12869
4
citations
Stochastic Q-learning for Large Discrete Action Spaces
Fares Fourati, Vaneet Aggarwal, Mohamed-Slim Alouini
ICML 2024arXiv:2405.10310
9
citations
Uncertainty-Aware Reward-Free Exploration with General Function Approximation
Junkai Zhang, Weitong Zhang, Dongruo Zhou et al.
ICML 2024arXiv:2406.16255
5
citations
Value-Evolutionary-Based Reinforcement Learning
Pengyi Li, Jianye Hao, Hongyao Tang et al.
ICML 2024oral