Entropy Regularized Reinforcement Learning

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Period ending 2026-09-07

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  1. When Greedy Sampling Explores: KL-Regularized Contextual Bandits without Eluder-Dimension Dependence

    Sep 11, 2026Zichen Wang, Haoyang Hong, Huazheng WangLinear Contextual BanditsKullback-Leibler Regularization

  2. Temporal-Causal Inference for Reinforcement Learning via Automata Learning

    Sep 7, 2026Jan Corazza, Daniil Kaminskyi, Simon Lutz +4Entropy Regularized Reinforcement LearningMarkov Decision Processes

  3. The Dually Flat Geometry of Planning as Inference

    Sep 3, 2026Nikola Milosevic, Asaki Kataoka, Nicolas Hinrichs +2Entropy Regularized Reinforcement LearningPlanning Methods

  4. Efficient Hypergradient Descent for Inverse Reinforcement Learning

    Aug 11, 2026Nikita Sevriukov, Anna Barabanova, Uliana Gagarina +4Entropy Regularized Reinforcement LearningGradient Descent

  5. Self-Normalized Inference for Constant-Stepsize Temporal-Difference Learning under Markovian Sampling

    Aug 11, 2026Min Zeng, Yichen Zhang, Xiaofeng ShaoTemporal DifferenceCentral Limit Theorem

  6. IADD-TR: Intervention-Aware Dynamics Decoupling with Targeted Regularization for Model-Based Reinforcement Learning

    Aug 11, 2026Zefeng Liang, Jie Qiao, Ruichu Cai +2Entropy Regularized Reinforcement LearningRegularization Techniques

  7. Bayesian Symbolic Regression with Entropic Reinforcement Learning

    Aug 10, 2026Oussama Boussif, Mohammed Mahfoud, Younesse Kaddar +6Symbolic RegressionEntropy Regularized Reinforcement Learning

  8. Hierarchical Topology-Aware Planning and Control of Underwater Vehicle-Manipulator Systems in Confined Environments

    Aug 9, 2026Mohamed Abdelwahab, Ruggero Carli, Damiano Varagnolo +1Autonomous Underwater VehiclesUnderwater Robots

  9. Finite Constant Frontiers and Auditable Regret Certificates for Average-Reward Reinforcement Learning

    Aug 7, 2026Ibne Farabi Shihab, Abu Sa-Adat Mohamed Moon-Im Al Ahsan, Md Najmus SwaqeebEntropy Regularized Reinforcement LearningMarkov Decision Processes

  10. Game-Theoretic Inverse Reinforcement Learning for Modeling Competitive Human Driving: A Cut-in Prediction Study

    Aug 6, 2026Yu SongDrivingEntropy Regularized Reinforcement Learning

  11. IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games

    Aug 5, 2026Conor M. Artman, Nicholas Di, Scott PerkinsImperfect-Information GamesGenerative Flow Networks

  12. A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning

    Aug 3, 2026Tianle Liu, Youcheng Niu, Jing Zeng +2Zero--Sum Differential GameMulti-Agent Reinforcement Learning

  13. Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity

    Jul 30, 2026Naman Saxena, Mudit Gaur, Vaneet AggarwalEntropy Regularized Reinforcement LearningOptimal Sample Complexity

  14. Active Inference as a Convex Markov Decision Process

    Jul 22, 2026Nikola Milosevic, Nicolás Hinrichs, Nico ScherfEntropy Regularized Reinforcement LearningMarkov Decision Processes

  15. The World Model Remembers, the Actor Forgets: Dream Rehearsal for Continual Model-Based RL

    Jul 22, 2026Gurp NijjerCatastrophic ForgettingLatent World Models

  16. Sophisticated Policies from Epistemic Priors

    Jul 21, 2026Wouter W. L. Nuijten, Bert de VriesBelief SpaceEntropy Regularized Reinforcement Learning

  17. Generalised Bellman recurrence and three dualities in sequential decision-making

    Jul 20, 2026Fernando E. Rosas, David Hyland, Daniel PolaniBellman EquationValue Functions

  18. Rationalizing Boltzmann Rationality: An Axiomatic Characterization of Entropy-Regularized Policies

    Jul 19, 2026Silviu PitisEntropy Regularized Reinforcement LearningBellman Equation

  19. A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning

    Jul 15, 2026Yang Liu, Yuhao Liu, Yunran WeiEntropy Regularized Reinforcement LearningNoise-Aware

  20. Discriminative Barrier Functions for Safe Adversarial Imitation Learning from Observation

    Jul 15, 2026Anubhav Vishwakarma, Bhaumik Mehta, Caleb Hsu +3Control Barrier FunctionsBarrier Functions

  21. Generalizing Preference-based Reinforcement Learning: a Rationality Model for Incomparability

    Jul 13, 2026Simone Drago, Marco Mussi, Leonardo Bianconi +1Entropy Regularized Reinforcement LearningExternal Reward Models

  22. Nonparametric Bayesian Inverse Reinforcement Learning with Data-Parallel Gibbs Sampling

    Jul 10, 2026Sai Anirudh Katupilla, Shreeya Dasa LakshminathEntropy Regularized Reinforcement LearningGibbs Measures

  23. Mathematical methods of reinforcement learning

    Jul 8, 2026Denis Belomestny, Alexander Gasnikov, Egor Gladin +5Entropy Regularized Reinforcement LearningMarkov Decision Processes

  24. Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions

    Jul 6, 2026Kyohei Suzuki, Konstantinos SlavakisEntropy Regularized Reinforcement LearningLipschitz Constant

  25. Entropy Regularization Improves Policy Robustness in Continuous-Time Reinforcement Learning

    Jul 3, 2026Jialun Cao, Fernando Acero, David Šiška +1Entropy Regularized Reinforcement LearningKullback-Leibler Regularization

  26. Full Bayesian Reinforcement Learning via LF-IBIS

    Jul 2, 2026Stefano Masini, Cecilia Viscardi, Michela BacciniEntropy Regularized Reinforcement LearningImportance Sampling

  27. Entropy-Regularized Reinforcement Learning for Linear-Quadratic Stackelberg Differential Games in Regime-Switching Diffusion Models

    Jun 27, 2026Congde Hu, Danping Li, Lin Xu +1Entropy Regularized Reinforcement LearningZero--Sum Differential Game

  28. Entropy Regularized Reinforcement Learning for Zero-Sum Stochastic Differential Games in a Regime-Switching Jump-Diffusion Process

    Jun 27, 2026Congde Hu, Zhuo Jin, Danping Li +1Zero--Sum Differential GameStochastic Optimal Control

  29. Can In-Context Learning Support Intrinsic Curiosity?

    Jun 17, 2026Eric Elmoznino, Sangnie Bhardwaj, Johannes von Oswald +5In-Context LearningEntropy Regularized Reinforcement Learning

  30. Shattering the Autoregressive Curse: Dynamic Epistemic Entropy Orchestrated Erasable Reinforcement Learning for LLMs

    Jun 16, 2026Ziliang Wang, Kang An, Faqiang Qian +5Large Language Model ReasoningDeep Reinforcement Learning

  31. Maximum Entropy Inverse Reinforcement Learning for Mean-Field Games with Average Reward

    Jun 15, 2026Şevket Kaan Alkır, Naci Saldı, Berkay Anahtarcı +1Entropy Regularized Reinforcement LearningBellman Equation

  32. Proximal Policy Optimization for Amortized Discrete Sampling

    Jun 14, 2026Anna Zykova-Myzina, Timofei Gritsaev, Daniil Tiapkin +1Generative Flow NetworksFlow-Based Policy

  33. Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification

    Jun 4, 2026Haoyang Hong, Zichen Wang, Quanquan Gu +1Kullback-Leibler RegularizationLinear Contextual Bandits

  34. What Type of Inference is Active Inference?

    Jun 3, 2026Wouter W. L. Nuijten, Mykola Lukashchuk, Thijs van de Laar +1Classical PlanningFree Energy Principle

  35. ConTraIRL: Factorized Contrastive Abstractions for Transferable IRL

    Jun 2, 2026Yikang Gui, Bikramjit Banerjee, Prashant DoshiEntropy Regularized Reinforcement LearningContrastive Learning

  36. A No-Regret Framework for Adaptive Incentive Design

    Jun 1, 2026Georgios Vasileiou, Lantian Zhang, Silun ZhangIncentivesOptimal Actions

  37. Annealed Softmax Greedy in Many-Armed Bayesian Bandits

    May 29, 2026William Overman, Mohsen BayatiEntropy Regularized Reinforcement LearningReinforcement Learning With Verifiable Reward

  38. Inverse Reinforcement Learning without an Optimal Demonstrator: A Feasible Reward Set Approach

    May 29, 2026Kihyun Kim, Shripad Deshmukh, Nikos Vlassis +1Entropy Regularized Reinforcement LearningInverse Design

  39. A Lecture Note on Offline RL and IRL, Part II: Foundations of Inverse Reinforcement Learning and Dynamic Discrete Choice Models

    May 29, 2026Enoch Hyunwook KangEntropy Regularized Reinforcement LearningOffline Reinforcement Learning

  40. FLAG: Flow Policy MaxEnt-RL by Latent Augmented Guidance

    May 29, 2026Sungha Kim, Gawon Lee, Jusuk Lee +3Flow-Based PolicyEntropy Regularized Reinforcement Learning

  41. Reward Transfer from Inverse Reinforcement Learning: A Coupled Minimax Approach

    May 27, 2026Guang-Yuan Hao, Lars van der Laan, Aurélien Bibaut +1Entropy Regularized Reinforcement LearningBellman Equation

  42. Probabilistic Recurrent Intention Switching Model

    May 26, 2026Wenyuan Sheng, Hao Zhu, Joschka BoedeckerEntropy Regularized Reinforcement Learning

  43. Global Convergence of Wasserstein Policy Gradient for Entropy-Regularized Reinforcement Learning

    May 25, 2026Zhaoyu Zhu, Rui Gao, Shuang LiPolicy GradientEntropy-Regularized Equilibrium Selection

  44. Learning Kernel-Based MDPs from Episodic Preferential Feedback

    May 22, 2026Nikola Pavlovic, Sattar Vakili, Qing ZhaoReinforcement Learning From Human FeedbackEntropy Regularized Reinforcement Learning

  45. Infra-Bayesian Reinforcement Learning Agents Outperform Classical RL For Worst-Case Robustness

    May 22, 2026Manish Aryal, Faiyaz Azam, Agnivo Banerjee +11Entropy Regularized Reinforcement LearningDeep Reinforcement Learning

  46. CIG: Exploration via Conditional Information Gain

    May 20, 2026Tim Joseph, Marcus Fechner, Philipp Stegmaier +2Information GainEntropy Regularized Reinforcement Learning

  47. Minimax Optimal Variance-Aware Regret Bounds for Multinomial Logistic MDPs

    May 19, 2026Pierre Boudart, Pierre Gaillard, Alessandro RudiNear-Optimal Regret GuaranteesMarkov Decision Processes

  48. On Gaussian approximation for entropy-regularized Q-learning with function approximation

    May 17, 2026Artemy Rubtsov, Rahul Singh, Eric Moulines +2Q-LearningCentral Limit Theorem

  49. Sharp Spectral Thresholds for Logit Fixed Points

    May 15, 2026Tongxi WangEntropy-Regularized Equilibrium SelectionGumbel-Softmax Relaxation

  50. Fast Rates for Inverse Reinforcement Learning

    May 14, 2026Andreas Schlaginhaufen, Maryam KamgarpourEntropy Regularized Reinforcement LearningKullback-Leibler Divergence

  51. Tight Sample Complexity Bounds for Entropic Best Policy Identification

    May 13, 2026Amer Essakine, Claire VernadeEntropy Regularized Reinforcement LearningOptimal Policies

  52. Quantifying Potential Observation Missingness in Inverse Reinforcement Learning

    May 12, 2026Leo Benac, Abhishek Sharma, Alihan Huyuk +1Entropy Regularized Reinforcement LearningMissing Data

  53. Autoregressive Learning in Joint KL: Sharp Oracle Bounds and Lower Bounds

    May 12, 2026Yunbei Xu, Yuzhe Yuan, Ruohan ZhanKullback-Leibler DivergenceAutoregressive Model

  54. Trust Region Inverse Reinforcement Learning: Explicit Dual Ascent using Local Policy Updates

    May 10, 2026Anish Diwan, Davide Tateo, Christopher E. Mower +3Entropy Regularized Reinforcement LearningImitation Learning

  55. Learning the Preferences of a Learning Agent

    May 9, 2026Karim Abdel Sadek, Mark Bedaywi, Rhys Gould +1Preference LearningEntropy Regularized Reinforcement Learning

  56. Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners

    May 8, 2026Botos Csaba, Sreejan Kumar, Austin Tudor David Andrews +6Large Reasoning ModelsEntropy Regularized Reinforcement Learning

  57. f-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses

    May 7, 2026Di Wu, Chengshuai Shi, Jing Yang +1Bregman DivergencesReinforcement Learning From Human Feedback

  58. Distributional Process Reward Models: Calibrated Prediction of Future Rewards via Conditional Optimal Transport

    May 7, 2026Rachel Ma, Dylan Hadfield-Menell, Kristjan GreenewaldOptimal TransportQuantile Regression

  59. On Training in Imagination

    May 7, 2026Nadav Timor, Ravid Shwartz-Ziv, Micah Goldblum +2Entropy Regularized Reinforcement LearningReward Gradients

  60. Recovering Hidden Reward in Diffusion-Based Policies

    May 1, 2026Yanbiao Ji, Qiuchang Li, Yuting Hu +7Flow-Based PolicyEntropy Regularized Reinforcement Learning