"value function approximation" Papers

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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