2025 "linear function approximation" Papers

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Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics

Runzhe Wu, Ayush Sekhari, Akshay Krishnamurthy et al.

ICLR 2025posterarXiv:2406.11810

Deployment Efficient Reward-Free Exploration with Linear Function Approximation

Zihan Zhang, Yuxin Chen, Jason Lee et al.

NeurIPS 2025poster

Offline Actor-Critic for Average Reward MDPs

William Powell, Jeongyeol Kwon, Qiaomin Xie et al.

NeurIPS 2025poster

Plastic Learning with Deep Fourier Features

Alex Lewandowski, Dale Schuurmans, Marlos C. Machado

ICLR 2025posterarXiv:2410.20634

Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation

Toshinori Kitamura, Arnob Ghosh, Tadashi Kozuno et al.

NeurIPS 2025spotlightarXiv:2502.10138

The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise

Shuze Daniel Liu, Shuhang Chen, Shangtong Zhang

NeurIPS 2025oralarXiv:2401.07844