Reinforcement Learning

Also known as RL

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144 papers in the last four weeks, up 243% on the four weeks before. 1.4% of all new papers.

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Latest papers 1,138

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Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning
May 24, 2026Yu Yang, Yihong Guo, Anqi Liu +1Diffusion Model Guidance Reinforcement Learning
Duke University · Johns Hopkins University
A Contractive Feedback Semantics for Reinforcement Learning
May 23, 2026Zuyuan ZhangReinforcement Learning
The George Washington University
Reinforcement Learning for Reachability: Guaranteeing Asymptotic Optimality
May 23, 2026Amogh Palasamudram, Jakub Svoboda, Suguman Bansal +1Markov Decision Processes Reinforcement Learning
Georgia Institute of Technology, USA · Institute of Science and Technology, Austria · Dartmouth College, USA
Streaming Reinforcement Learning under Partial Observability with Real-Time Recurrent Learning
May 23, 2026Noah Farr, Aryaman Reddi, Carlo D'Eramo +1Reinforcement Learning Partially Observable RL
Technical University of Darmstadt · Zuse School ELIZA · Center for Artificial Intelligence and Data Science, University of Würzburg +1
RL with Learnable Textual Feedback: A Bilevel Approach
May 23, 2026Utsav Singh, Sidhaarth Sredharan, Souradip Chakraborty +1Reinforcement Learning RL for Language Model Reasoning
University of Central Florida · 2Carnegie Mellon University · 3Universtiy of Maryland
Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork
May 23, 2026Yuheng Jing, Kai Li, Ziwen Zhang +8RL Benchmarks Multi-Agent Coordination
C2DL, Institute of Automation, Chinese Academy of Sciences · School of Artificial Intelligence, University of Chinese Academy of Sciences · University of Science and Technology of China +5
Refined Analysis of Entropy-Regularized Actor-Critic
May 23, 2026Safwan Labbi, Paul Mangold, Daniil Tiapkin +1Reinforcement Learning Maximum Entropy RL
CMAP, CNRS, École Polytechnique, Institut Polytechnique de Paris, 91120 Palaiseau, France · Université Paris-Saclay, CNRS, LMO, 91405, Orsay, France · Google DeepMind +2
Evolving Robustness--Exploration Trade-off in Online Reinforcement Learning via Quantile Bayesian Risk MDPs
May 23, 2026Meichen Song, Yuhao Wang, Enlu ZhouReinforcement Learning Bayesian RL
School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta, GA 30332, USA
CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning
May 23, 2026Ke Sun, Yizhou Zhao, Jiayi Xin +2Reinforcement Learning RL for Language Model Reasoning
University of Pennsylvania
Concept Drift Adaptation Using Self-Supervised and Reinforcement Learning In Android Malware Detection
May 22, 2026Ahmed Sabbah, Mohammad Kharma, Mohammad Alkhanafseh +3Reinforcement Learning Concept Drift
Birzeit University · University of Central Florida
Geo-Align: Video Generation Alignment via Metric Geometry Reward
May 22, 2026Zizun Li, Haoyu Guo, Runzhe Teng +2Camera-Controlled Video Generation Reinforcement Learning
1USTC · 2Shanghai AI Lab · 3ZJU
One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents
May 22, 2026Yoosung HongReinforcement Learning Game-Playing Agents
Independent Researcher
Learning Kernel-Based MDPs from Episodic Preferential Feedback
May 22, 2026Nikola Pavlovic, Sattar Vakili, Qing ZhaoPairwise Preference Learning Regret Minimization in RL
Cornell University · MediaTek Research
Less Effort, Shorter Proofs: Reinforcement Learning for Security Protocol Analysis in Tamarin
May 22, 2026Matthias Cosler, Cas Cremers, Bernd Finkbeiner +2Reinforcement Learning Automated Theorem Proving
CISPA Helmholtz Center for Information Security, Saarbrücken, Germany · Technical University of Munich, Munich, Germany
Understanding Goal Generalisation in Sequential Reinforcement Learning
May 22, 2026Jason Ross Brown, Edward James YoungReinforcement Learning OOD Generalization
University of Cambridge Cambridge, United Kingdom · University of Cambridge & Geodesic Research Cambridge, United Kingdom
B-GRTO: Bootstrapped Group Relative Tool Optimization for Referring Segmentation
May 22, 2026Mario Markov, Stefan Maria Ailuro, Mohammad Mahdi +2Image Segmentation Reinforcement Learning
INSAIT, Sofia University "St. Kliment Ohridski" · INSAIT, Sofia University “St. Kliment Ohridski”
ARES: Automated Rubric Synthesis for Scalable LLM Reinforcement Learning
May 22, 2026Xiaoyuan Li, Keqin Bao, Moxin Li +5RL for Language Models Reinforcement Learning
University of Science and Technology of China · Alibaba Group · National University of Singapore
Reflex: Reinforcement Learning with Reflection Symmetry Exploitation in State-Based Continuous Control
May 22, 2026Shuai Zhen, Yifan Zhang, Yuling Wang +1RL Control Reinforcement Learning
Beijing University of Posts and Telecommunications · Hangzhou Dianzi University
From Correctness to Preference: A Framework for Personalized Agentic Reinforcement Learning
May 22, 2026Ranxu zhang, zeyang li, Jiacheng Huang +5Agentic RL Reinforcement Learning
University of Science and Technology of China · Alibaba Group
Pure Exploration for a Good Policy in Reinforcement Learning with Bandit Feedback
May 22, 2026Zitian Li, Wang Chi CheungReinforcement Learning RL Exploration
Department of Industrial Systems Engineering & Management National University of Singapore Engineering Drive 2 Block E1A #06-25 Singapore 117576
Infra-Bayesian Reinforcement Learning Agents Outperform Classical RL For Worst-Case Robustness
May 22, 2026Manish Aryal, Faiyaz Azam, Agnivo Banerjee +11Reinforcement Learning Model Misspecification
Purdue University · Carnegie Mellon University · WorldQuant University +11
Robots That Know What to Ask: Recovering Misaligned Rewards through Targeted Explanations
May 21, 2026Helena Merker, Nick Walker, Andreea BobuReinforcement Learning Learning from Demonstration
Massachusetts Institute of Technology
Vector Policy Optimization: Training for Diversity Improves Test-Time Search
May 21, 2026Ryan Bahlous-Boldi, Isha Puri, Idan Shenfeld +6Multi-Objective Reinforcement Learning Reinforcement Learning
1MIT · 2Improbable AI Lab · 4Sakana AI +1
Remember to be Curious: Episodic Context and Persistent Worlds for 3D Exploration
May 21, 2026Lily Goli, Justin Kerr, Daniele Reda +3Reinforcement Learning Embodied Navigation
University of Toronto · Wayve · Vector Institute +2
Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals
May 21, 2026Yu Tang, Muhammad Zakwan, Efe Balta +2Reinforcement Learning Combinatorial Optimization
Centre for Artificial Intelligence, Zurich University of Applied Sciences, Switzerland · Inspire AG, Zurich, Switzerland · Automatic Control Laboratory, ETH Zurich, Switzerland
Two is better than one: A Collapse-free Multi-Reward RLIF Training Framework
May 21, 2026Shourov Joarder, Diganta Sikdar, Ahsan Habib Akash +2Multi-Objective Reinforcement Learning Intrinsic Reward Methods
Bangladesh University of Engineering and Technology, Bangladesh · West Virginia University, USA · University of Aberdeen, UK +2
LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance
May 21, 2026Yuchun Fan, Bei Li, Peiguang Li +9Multilingual Language Models Reinforcement Learning
NLP Lab, School of Computer Science and Engineering, Northeastern University, Shenyang, China · Meituan Inc. 3NiuTrans Research, Shenyang, China
Don't Forget the Critic: Value-Based Data Rehearsal for Multi-Cyclic Continual Reinforcement Learning
May 21, 2026Benjamin Poole, Andrew Quinn, Li Yang +1Reinforcement Learning Deep Q-Learning
Department of Computer Science University of North Carolina at Charlotte
Long-term Fairness with Selective Labels
May 21, 2026Giovani Valdrighi, Isabel Valera, Marcos Medeiros RaimundoReinforcement Learning Algorithmic Fairness
Instituto de Computac¸˜ao, Universidade Estadual de Campinas, Campinas, Brazil · Department of Computer Science, Saarland University, Saarbrücken, Germany
Survive or Collapse: The Asymmetric Roles of Data Gating and Reward Grounding in Self-Play RL
May 21, 2026Sophia Xiao Pu, Zhaotian Weng, Chengzhi Liu +4Reinforcement Learning Self-Play RL
University of California, Santa Barbara · Cisco Research

May 24, 2026, cs.LGJ/K move · Enter open · S save

Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning

Yu Yang, Yihong Guo, Anqi Liu, Pan Xu

Duke University · Johns Hopkins University

Diffusion Model Guidance Reinforcement Learning Diffusion-Based Planning Offline RL

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Off-dynamics offline reinforcement learning seeks to learn a target-domain policy from a large source dataset and a limited target dataset under mismatched transition dynamics. Existing approaches such as reward augmentation and data filtering are constrained to the source dataset and cannot synthesize new target behavior to improve coverage beyond the collected source trajectories. While recent model-based methods attempt to address this by learning target-aware dynamics, the generated experience is constructed only at the transition level, which leads to accumulated errors over long horizons. These limitations necessitate a shift toward trajectory-level generation for off-dynamics offline RL. We propose CEDGE, a Cross-domain Energy-guided Diffusion GEneration framework. CEDGE trains a trajectory diffusion model on source-domain trajectories and adapts the generated samples to the target domain through energy guidance. This guidance is derived by minimizing the distribution mismatch between the source and desired target-domain trajectories and is decomposed into return, domain, and behavior energy components. The resulting energy-guided trajectories are useful both for direct planning and as synthetic data for policy learning. Since target adaptation is achieved via energy guidance rather than retraining the diffusion model, CEDGE can be efficiently adapted to new target dynamics compared to previous methods. Experiments on the ODRL benchmark demonstrate that trajectory-level energy-guided generation improves diffusion planning under dynamics shifts and produces synthetic data that improves downstream target policy learning.

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Latest papers 1,138