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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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3 results for “DR-RL”

Model-Free Robust Reinforcement Learning with Sample Complexity Analysiscs.LG

New model-free DR-RL algorithm with finite sample complexity.

problem Limited model-free DR-RL methods with convergence guarantees or sample complexities.

method Integrates Multi-level Monte Carlo (MLMC) technique with threshold mechanism.

result First model-free DR-RL approach with finite sample complexity for total variation and Chi-square divergence.

Reinforcement Learning Distributionally Robust Monte Carlo Model-Free Finite Sample Complexity

2024-06-24abs ↗pdf ↗

Near-Optimal Sample Complexities of Divergence-based S-rectangular Distributionally Robust Reinforcement Learningcs.LG

Paper studies S-rectangular DR-RL models for robust reinforcement learning with near-optimal sample complexity.

problem Addressing distributional discrepancies in reinforcement learning environments.

method Empirical value iteration algorithm for divergence-based S-rectangular DR-RL models.

result Near-optimal sample complexity bound of

O(|\mathcal{S}||\mathcal{A}|(1-γ)^{-4}\varepsilon^{-2})

reinforcement learning distributionally robust S-rectangular DR-RL sample complexity

2025-05-18abs ↗pdf ↗

Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learningcs.LG

Improved RL algorithm for robustness against parameter mismatches.

problem Learning robust control policies against parameter mismatches between training and testing environments.

method Formulated as DR-RL problem, proposed RPVL algorithm for tabular episodic learning with four divergences.

result Achieved

ilde{\mathcal{O}}(|\mathcal{S}||\mathcal{A}| H^{5})

sample complexity uniformly better than existing results.

Reinforcement Learning Robustness Distributionally Robust Tabular Episodic Wasserstein

2023-03-05abs ↗pdf ↗