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reinforcement learning theory

8 papers

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Co-occurring keywords

reinforcement learning (4122) sample complexity (1158) optimal policy (93) undiscounted setting (1) function approximation (319) uncertainty quantification (1365) epistemic uncertainty (156) natural policy gradient (33) convergence analysis (394) distributional reinforcement learning (72)

Papers

Epistemic Bellman Operators AAAI 2025
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings AAAI 2022
Learning in Observable POMDPs, without Computationally Intractable Oracles NIPS 2022
Bilinear Classes: A Structural Framework for Provable Generalization in RL ICML 2021
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms NIPS 2021
Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems AISTATS 2020
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract) IJCAI 2020
Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning NIPS 2006