Constrained Reinforcement Learning

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Period ending 2026-09-14

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A weekly snapshot of new work published in Constrained Reinforcement Learning.

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  1. A Better Spur Should Start From Each Objective

    Sep 8, 2026Shanwen Mao, Hao Zhang, Guangtao nie +4Constrained Reinforcement LearningTraining-Free Reward Alignment

  2. It's a matter of timescale: non-linear utility in successor features and multi-objective planning and learning

    Aug 26, 2026Liam P. H. Mertens, Lucas N. Alegre, Florent Delgrange +3Successor RepresentationsExpected Utility

  3. Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds

    Aug 10, 2026Shiting Gong, Jianpeng Yao, Jinfeng Wang +2Constrained Reinforcement LearningSafety Constraints

  4. Momba: Network Modernization Improves Multi-Objective Reinforcement Learning

    Aug 7, 2026Adam Štafa, Santeri Heiskanen, Petr Novotný +1Constrained Reinforcement LearningDeep Reinforcement Learning

  5. Spatiotemporal Agility: Time-Constrained Reinforcement Learning for Vision-Guided Dynamic Quadrupedal Interception

    Aug 7, 2026Yidong Zhu, Zibo Dai, Tongning Zhang +2Legged RobotsAdvanced Jet Trainer

  6. ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration

    Aug 5, 2026Osei Brempong, Mohammed Ayman Habib, Vivan Poddar +1Analog CircuitsConstrained Reinforcement Learning

  7. Generative Optimization for Incentivized Advertising with Global Level Constraints

    Aug 5, 2026Gege Chen, Ning Luo, Hao Jiang +7IncentivesConstrained Reinforcement Learning

  8. Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection

    Aug 3, 2026Patrick Helm, Jan-Niklas Doerr, Joren Gijsbrechts +1Mixed-Integer ProgrammingConstrained Reinforcement Learning

  9. LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback

    Jul 31, 2026Manith Adikari, Bei Peng, Samuele Vinanzi +1Constrained Reinforcement LearningProcess Reward Modeling

  10. Hierarchical Multilevel Monte Carlo for Order-Optimal Neural Actor-Critic in Average-Reward CMDPs

    Jul 30, 2026Ankur Naskar, Vaneet AggarwalSoft Actor-CriticMarkov Decision Processes

  11. Constrained Reinforcement Learning Using Successor Representations

    Jul 27, 2026Michael Girstl, Alexander Mattick, Christopher MutschlerConstrained Reinforcement LearningSafety Constraints

  12. Directional Constraints for Efficient Exploration in Safe Reinforcement Learning

    Jul 14, 2026Paolo Magliano, Puze Liu, Jan Peters +2Safety ConstraintsConstrained Reinforcement Learning

  13. Semantic Pareto-DQN: A Multi-Objective Reinforcement Learning Framework for Financial Anomaly Detection

    Jul 10, 2026Cláudio Lúcio do Val Lopes, Lucca Machado da SilvaFraud DetectionExtreme Class Imbalance

  14. Deep Reinforcement Learning for Reliability Based Bi-Objective Portfolio Optimization

    Jul 7, 2026Sounaq Das, Tanmay Sen, Raghu Nandan Sengupta +1Portfolio OptimizationConditional-Value-At-Risk

  15. Sample-Efficient Pareto Front Modeling for Energy-Aware Reinforcement Learning Using Bayesian Optimization

    Jul 3, 2026Georg Schäfer, Jakob Rehrl, Stefan Huber +1Constrained Reinforcement LearningBayesian Optimization

  16. AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RL

    Jun 30, 2026Woosung Kim, Youngjun Suh, Jinho Lee +2Constrained Reinforcement LearningMulti-Objective Optimization

  17. Sampling-Based Coordination-Informed Multi-Objective Multi-Robot Reinforcement Learning

    Jun 29, 2026Antonio Marino, Esteban Restrepo, Soon-jo Chung +2Multi-Agent Reinforcement LearningMulti-Robot Systems

  18. Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience

    Jun 25, 2026Raymond Yu, William Huey, Mustafa Mukadam +2Zero-Shot Sim-To-Real TransferConstrained Reinforcement Learning

  19. Deterministic Pareto-Optimal Policy Synthesis for Multi-Objective Reinforcement Learning

    Jun 24, 2026Aniruddha Joshi, Niklas Lauffer, Sanjit SeshiaConstrained Reinforcement LearningOptimal Policies

  20. Average-Power-Budgeted Underwater Vehicle Control via Constrained Reinforcement Learning

    Jun 24, 2026Yinuo Wang, Gavin Tao, Yuze Liu +1Autonomous Underwater VehiclesIterative Reinforcement Learning

  21. MAPL: Multi-Objective Preference Learning for Robot Locomotion

    Jun 24, 2026Xiyue Chen, Muhan Lin, Shuyang Shi +1Perceptive Locomotion PoliciesPreference Learning

  22. Bias-Controlled Primal-Dual Natural Actor-Critic: Optimal Rates for Constrained Multi-Objective Average-Reward RL

    Jun 23, 2026Ankur Naskar, Swetha Ganesh, Vaneet AggarwalConstrained Reinforcement LearningSoft Actor-Critic

  23. Breaking the Filter Bubble: A Semantic Pareto-DQN Framework for Multi-Objective Recommendation

    Jun 23, 2026Cláudio Lúcio Do Val Lopes, Lucca Machado da Silva, André de Oliveira BrandãoLarge-Scale Recommendation SystemsRecommendation

  24. MORL-A2C: Multi-Objective Reinforcement Learning Reranker for Optimizing Healthiness in MOPI-HFRS

    Jun 22, 2026Aarya Vasantlal, Joshua Zolla, Chuxu ZhangNutrient ReasoningMultimodal Recommendation

  25. Meta-Reinforcement Learning via Evolution for Multi-Objective Combinatorial Supply Chain Optimisation

    Jun 20, 2026Rifny Rachman, Bahrul Ilmi Nasution, Josh Tingey +3Constrained Reinforcement LearningMulti-Objective Optimization

  26. Objective-Behavior Alignment: Diagnostics for MORL Policy Selection

    Jun 19, 2026Antonio Mone, Zuzanna Osika, Florian Felten +4Constrained Reinforcement LearningBehavioral Alignment

  27. CRAX: Fast Safe Reinforcement Learning Benchmarking

    Jun 18, 2026Tristan Tomilin, Mourad Boustani, Mickey Beurskens +1Joint Reinforcement LearningConstrained Reinforcement Learning

  28. A Multi-Agent system for Multi-Objective constrained optimization

    Jun 18, 2026Federica FilippiniConstrained Reinforcement LearningMulti-Agent Reinforcement Learning

  29. Pareto Q-Learning with Reward Machines

    Jun 17, 2026Arnaud Lequen, Clément Legrand-Lixon, Léo SaulièresQ-LearningConstrained Reinforcement Learning

  30. Learning Fair Pareto-Optimal Policies in Multi-Objective Reinforcement Learning

    Jun 16, 2026Umer Siddique, Peilang Li, Yongcan CaoConstrained Reinforcement LearningOptimal Policies

  31. CSPO: Constraint-Sensitive Policy Optimization for Safe Reinforcement Learning

    Jun 12, 2026Ayoub Belouadah, Sylvain Kubler, Yves Le TraonConstrained Reinforcement LearningSafety Constraints

  32. Utility-Constrained Policy Optimization

    Jun 12, 2026Mehrdad Moghimi, Bernardo Avila PiresConstrained Reinforcement LearningSafety Constraints

  33. Critic Architecture Matters: Dual vs. Unified Critics for Humanoid Loco-Manipulation

    Jun 10, 2026Mehmet Turan YardımcıHumanoid Loco-ManipulationPerceptive Locomotion Policies

  34. Seeing Before Colliding: Anticipatory Safe RL with Frozen Vision-Language Models

    Jun 9, 2026Samuel Tetteh, Cody FlemingSafety ConstraintsConstrained Reinforcement Learning

  35. One Model, Multiple Goals: Adaptive Multi-Objective Learning for E-commerce Dialogue Systems

    Jun 8, 2026Mingzhe Li, Jing Xiang, Enguo Zhou +5Constrained Reinforcement LearningObjectives

  36. COP-Q: Safety-First Reinforcement Learning for Robot Control via Cholesky-Ordered Projection

    Jun 3, 2026Guopeng Li, Moritz A. Zanger, Matthijs T. J. Spaan +1Safety ConstraintsConstrained Reinforcement Learning

  37. Coordination Graphs for Constrained Multi-Agent Reinforcement Learning

    Jun 1, 2026Santiago Amaya-Corredor, Miguel Calvo-Fullana, Anders JonssonMulti-Agent Reinforcement LearningConstrained Reinforcement Learning

  38. Constrained Multi-Objective Reinforcement Learning with Max-Min Criterion

    May 29, 2026Giseung Park, Hyunyoung Nam, Woohyeon Byeon +2Constrained Reinforcement LearningMulti-Objective Optimization

  39. Joint Optimization of Training and Inference in Federated Edge Learning via Constrained Multi-Objective Deep Reinforcement Learning

    May 25, 2026Zhen Li, Jun Cai, Chao Yang +1Heterogeneous Edge DevicesResource-Constrained Edge Devices

  40. Reinforcement Learning for Risk Adaptation via Differentiable CVaR Barrier Functions

    May 20, 2026Xinyi Wang, Taekyung Kim, Bardh Hoxha +2Obstacle AvoidanceConstrained Reinforcement Learning

  41. Adaptive Smooth Tchebycheff Attention for Multi-Objective Policy Optimization

    May 12, 2026Alejandro Murillo-Gonzalez, Mahmoud Ali, Lantao LiuConstrained Reinforcement LearningTrajectory Optimization

  42. Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning

    May 12, 2026Jingduo Pan, Taoran Wu, Yiling Xue +1Constrained Reinforcement LearningBellman Equation

  43. Controllability in preference-conditioned multi-objective reinforcement learning

    May 11, 2026Pau de las Heras Molins, Beyazit Yalcinkaya, Lasse Peters +2Constrained Reinforcement LearningControllability

  44. Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems

    May 11, 2026Tianxiao Li, Yixing Ma, Haiquan Wen +4Multi-Agent SystemsSafety Constraints

  45. Minimizing Worst-Case Weighted Latency for Multi-Robot Persistent Monitoring: Theory and RL-Based Solutions

    May 10, 2026Weizhen Wang, Ziheng Wang, Jianping He +2Multi-Robot SystemsConstrained Reinforcement Learning

  46. A Single Deep Preference-Conditioned Policy for Learning Pareto Coverage Sets

    May 9, 2026Akihiro Kubo, Kosuke Nakanishi, Shin IshiiOptimal PoliciesConstrained Reinforcement Learning

  47. Multi-Objective Constraint Inference using Inverse reinforcement learning

    May 7, 2026Syed Ihtesham Hussain Shah, Floris den Hengst, Aneta Lisowska +1Constrained Reinforcement LearningInference-Time Control

  48. Augmented Lagrangian Multiplier Network for State-wise Safety in Reinforcement Learning

    May 1, 2026Jiaming Zhang, Yujie Yang, Yao Lyu +2Constrained Reinforcement LearningLagrangian Methods

  49. A Distributionally Robust Reinforcement Learning Framework for Constrained Urban EV Dispatch

    Apr 28, 2026An Nguyen, Hoang Nguyen, Phuong Le +3Electric VehiclesConstrained Reinforcement Learning

  50. A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning

    Apr 27, 2026Ying-Tu Chen, Wei Hung, Bing-Shu Wu +2Constrained Reinforcement LearningEfficient Exploration

  51. Multi-objective Reinforcement Learning With Augmented States Requires Rewards After Deployment

    Apr 17, 2026Peter Vamplew, Cameron FoaleConstrained Reinforcement Learning

  52. Safe RLHF Beyond Expectation: Stochastic Dominance for Universal Spectral Risk Control

    Mar 11, 2026Yaswanth Chittepu, Ativ Joshi, Rajarshi Bhattacharjee +1Reinforcement Learning From Human FeedbackConstrained Reinforcement Learning

  53. Synthetic Interaction Data for Scalable Personalization in Large Language Models

    Feb 12, 2026Yuchen Ma, Yue Huang, Wenjie Wang +3PersonalizationPairwise Preferences

  54. GraphAllocBench: A Flexible Benchmark for Preference-Conditioned Multi-Objective Policy Learning

    Jan 28, 2026Zhiheng Jiang, Yunzhe Wang, Ryan Marr +3Constrained Reinforcement LearningObjective Functions

  55. Constrained Reinforcement Learning for Safe Heat Pump Control

    Sep 29, 2024Baohe Zhang, Lilli Frison, Thomas Brox +1Constrained Reinforcement LearningSoft Actor-Critic