Poster "linear function approximation" Papers

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Computational Hardness of Reinforcement Learning with Partial $q^{\pi}$-Realizability

Shayan Karimi, Xiaoqi Tan

Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics

Runzhe Wu, Ayush Sekhari, Akshay Krishnamurthy et al.

ICLR 2025arXiv:2406.11810

Deployment Efficient Reward-Free Exploration with Linear Function Approximation

Zihan Zhang, Yuxin Chen, Jason Lee et al.

Offline Actor-Critic for Average Reward MDPs

William Powell, Jeongyeol Kwon, Qiaomin Xie et al.

Plastic Learning with Deep Fourier Features

Alex Lewandowski, Dale Schuurmans, Marlos C. Machado

ICLR 2025arXiv:2410.20634

Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization

Yihan Du, Anna Winnicki, Gal Dalal et al.

ICML 2024arXiv:2402.10342

Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret

Han Zhong, Jiachen Hu, Yecheng Xue et al.

ICML 2024arXiv:2302.10796