arXiv RL Theory @RLtheoryPapers
Daily updates of reinforcement learning theory papers on arXiv Joined June 2025-
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Is RL fine-tuning harder than regression? A PDE learning approach for diffusion models arxiv.org/abs/2509.02528
Connections between reinforcement learning with feedback,test-time scaling, and diffusion guidance: An anthology arxiv.org/abs/2509.04372
Batched Stochastic Matching Bandits arxiv.org/abs/2509.04194
On Entropy Control in LLM-RL Algorithms arxiv.org/abs/2509.03493
Playing Markov Games Without Observing Payoffs arxiv.org/abs/2509.00179
Sampling as Bandits: Evaluation-Efficient Design for Black-Box Densities arxiv.org/abs/2509.01437
The Geometry of Nonlinear Reinforcement Learning arxiv.org/abs/2509.01432
Threshold-Based Optimal Arm Selection in Monotonic Bandits: Regret Lower Bounds and Algorithms arxiv.org/abs/2509.02119
Lagrangian Relaxation for Multi-Action Partially Observable Restless Bandits: Heuristic Policies and Indexability arxiv.org/abs/2509.00415
Context-Action Embedding Learning for Off-Policy Evaluation in Contextual Bandits arxiv.org/abs/2509.00648
Convergence of regularized agent-state-based Q-learning in POMDPs arxiv.org/abs/2508.21314
Beyond expected value: geometric mean optimization for long-term policy performance in reinforcement learning arxiv.org/abs/2508.21443
Introduction to the Analysis of Probabilistic Decision-Making Algorithms arxiv.org/abs/2508.21620
Finite-Time Guarantees for Multi-Agent Combinatorial Bandits with Nonstationary Rewards arxiv.org/abs/2508.20923
Incentivized Lipschitz Bandits arxiv.org/abs/2508.19466
Anomaly Detection in Networked Bandits arxiv.org/abs/2508.20076
Stability and Generalization for Bellman Residuals arxiv.org/abs/2508.18741
Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems arxiv.org/abs/2508.18604
Recycling History: Efficient Recommendations from Contextual Dueling Bandits arxiv.org/abs/2508.18841
Efficient Best-of-Both-Worlds Algorithms for Contextual Combinatorial Semi-Bandits arxiv.org/abs/2508.18768
Saatwik Tiwari @pip_install_win
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Xingtu Liu @MLtheory
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Stat.ML Papers @StatMLPapers
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