Reinforcement Learning

Also known as RL

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144 papers in the last four weeks, up 269% on the four weeks before. 1.4% of all new papers.

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Latest papers 1,125

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Reinforcement Learning with Conformal Action Sets: An Application to Sequential Recommendation
Oct 6, 2026Wenwen Si, Honghao WeiSequential Recommendation Reinforcement Learning
University of Pennsylvania · Washington State University
Selective Transfer of RL Updates for Visual Reasoning
Oct 6, 2026Suxin Ji, Hungtao Wan, Mingjun Liu +1Reinforcement Learning VLM Reasoning
University of Pennsylvania · Independent Researcher · University of Electronic Science and Technology of China +1
Reinforcement Learning with Segment Reward Feedback under Linear Function Approximation
Oct 6, 2026Fengxu Liu, Siwei Wang, Gal Dalal +2Regret Minimization in RL Reinforcement Learning
National University of Singapore. · Microsoft Research Asia. · NVIDIA Research. +2
Revisiting Temporal Regularization for Smooth Control in Deep Reinforcement Learning
Oct 6, 2026SungJae Ahn, Jeong Woon Lee, Kyoleen Kwak +1RL Control Reinforcement Learning
College of Software, Kyung Hee University.
FC-SWE: Failure-Conditioned RL for Long-Horizon Software Engineering Agents
Oct 6, 2026Jia Liufu, Bin Hu, Linglin Jing +5RL for Code Generation Software Engineering Agents
NVIDIA · Tsinghua University
Learned Adaptive Multiresolution Diffusion Imaging
Oct 6, 2026Christian Tantardini, Stig Rune Jensen, Roberto Di Remigio Eikås +1Reinforcement Learning Adaptive Mesh Refinement
Center for Integrative Petroleum Research, King Fahd University of Petroleum and Minerals, Dhahran 31261, Kingdom of Saudi Arabia · Hylleraas Centre for Quantum Molecular Sciences, Department of Chemistry, UiT The Arctic University of Norway, N-9037 Tromsø, Norway · Algorithmiq S.r.l., c/o STLex, Via della Chiusa 15, 20123, Milano, Italia
Adapting to Changes in Agent Behavior via Finite-Depth Policy Sensitivity
Oct 5, 2026Lan Shi, Daigo Shishika, Xuan WangReinforcement Learning Multi-Agent Reinforcement Learning
George Mason University, USA
Considering Context: When World Models Need Context Encoders
Oct 5, 2026Oleg Smirnov, Sofiane Ennadir, John Pertoft +2Reinforcement Learning World Model Learning
King AI Labs, Microsoft Gaming
GPlaceRL: An Open-Source Graph Reinforcement Learning Framework for Detailed Placement
Oct 5, 2026Pavlos Stoikos, Foteini Oikonomou, Christos Poulos +5Reinforcement Learning Electronic Design Automation
Department of Electrical and Computer Engineering, University of Thessaly, Volos, Greece · School of Computing Science, University of Glasgow, UK · Department of Electronic and Electrical Engineering, Trinity College Dublin, Ireland
I-BFM: Reward-Conditioned Robust Humanoid Interaction via Unsupervised Reinforcement Learning
Oct 5, 2026Ziqi Han, Yitang Li, Junhan Sun +8Representation Learning Reinforcement Learning
Tongji University · Tsinghua University · Zhejiang University +3
Fast Last-Iterate Convergence in Zero-Sum Markov Games with Bandit Feedback
Oct 5, 2026Yuheng ZhangLast-Iterate Convergence Reinforcement Learning
University of Illinois Urbana-Champaign
HuatuoGPT-3: RL-Only Domain Adaptation from Base Models
Oct 5, 2026Junying Chen, Xinyuan Xie, Ziniu Li +7RL for Language Models Reinforcement Learning
The Chinese University of Hong Kong, Shenzhen · Shenzhen Research Institute of Big Data · Shenzhen Loop Area Institute +1
An LLM-in-the-loop RL Framework for Bioinformatics Feature Selection
Oct 4, 2026Xinyuan Wang, Deepti Agrawal, Yanjie FuReinforcement Learning LLM-Guided RL
School of Computing and AI Arizona State University Tempe, USA
Factoriax: A GPU-Accelerated Factorio-Style Simulator for Reinforcement Learning
Oct 4, 2026Mickey Beurskens, Tristan Tomilin, Thiago D. SimãoRL Benchmarks Reinforcement Learning
Eindhoven University of Technology
Hierarchical Reinforcement Learning with Stable Temporal Abstraction for Language Model Agents
Oct 4, 2026Shayan Mohajer Hamidi, Yize Cheng, Yuanda Xu +2Reinforcement Learning Hierarchical RL
LinkedIn Corporation · University of Maryland
Task Inference Beyond Least Squares in Behavioral Foundation Models
Oct 4, 2026Kuan-Hsun Tu, Chien-Sheng Chiang, Hsin-Wei Chen +2Reinforcement Learning Multi-Task RL
National Taiwan University
On Semi-Markov Suboptimality in Hierarchical Reinforcement Learning
Oct 4, 2026Bingyun Liu, Yuheng JingReinforcement Learning Sequential Decision Making
Institute of Automation Chinese Academy of Sciences
Long-MDR: Long-Context Reinforcement Learning for Multimodal Deep-Research Agents
Oct 4, 2026On Tai TangReinforcement Learning Deep Research Agents
The Hong Kong University of Science and Technology (HKUST)
Beyond Instruction Following: Learning Grounded Skill-Following with Skill Contracts
Oct 4, 2026Jianghan Shen, Zhenjie Liu, Yue Li +10Reinforcement Learning LLM Agent Skill Learning
Nanjing University · Shanghai Artificial Intelligence Laboratory · Peking University +3
Direction-Conditioned Policies for Online Goal-Conditioned Reinforcement Learning
Oct 4, 2026S K Swaminathan, Damiya Gondha, Theyanesh Eswaramoorthy Rajahkrishnan +1Reinforcement Learning Contrastive RL
Department of Computer Science and Engineering Indian Institute of Technology Kharagpur, India · Department of Mechanical Engineering Indian Institute of Technology Kharagpur, India
InterEvolve: Test-Time Evolution of Reward Programs for Humanoid Loco-Manipulation
Oct 1, 2026Zhuo Lin, Sirui Xu, Liuyu Bian +2Humanoid Loco-Manipulation Reinforcement Learning
University of Illinois Urbana-Champaign
Faynt: Scaling and Optimizing Policies for Competitive Melee
Oct 1, 2026Ali Janati, Nikita Kuzmin, Rohit Swamy +1Reinforcement Learning Self-Play RL
Frisson Labs
Bellman Meets Lyapunov: Unsupervised Reinforcement Learning via Mastering Chaos
Oct 1, 2026Tristan Shah, Wooyoung Chung, Volodomyr Makarenko +2Reinforcement Learning Intrinsic Motivation
Texas Tech University · Purdue University
Q-Learning for Reachability in MEC-Free MDPs
Oct 1, 2026Lu-Chin Chang, Suguman BansalMarkov Decision Processes Reinforcement Learning
Georgia Institute of Technology
Reinforcement Learning to Accelerate Primal-Dual Hybrid Gradient for Linear Programming
Oct 1, 2026Jinhwan Sul, Alex Oshin, Evangelos A. TheodorouPrimal-Dual Optimization Reinforcement Learning
Georgia Institute of Technology, USA
Decision Titan: Test-Time Training for Long-Term Memory in Offline Reinforcement Learning
Oct 1, 2026Jude Waide, Robert LieckReinforcement Learning Transformer-Based RL
Department of Computer Science, University of Durham, Durham, United Kingdom.
Rethinking Probability-Based Reinforcement Learning From Posterior Concentration
Oct 1, 2026Shiu-Hong Kao, Yubo Zhao, Zhenyu Tian +3Reinforcement Learning RL for Language Model Reasoning
National University of Singapore · The Hong Kong University of Science and Technology · University of Science and Technology of China
Optimal Transport Meets Reinforcement Learning: A Survey
Oct 1, 2026Yujie Zhu, Charles A. Hepburn, Matthew Thorpe +1Reinforcement Learning Optimal Transport
University of Warwick
MMVistaReason: Toward Open-Data and Post-Training Recipes for Multimodal Reasoning
Oct 1, 2026Juekai Lin, Honglin Lin, Yuqian Yuan +7Reinforcement Learning Multimodal Reasoning
Zhejiang University · Shanghai Artificial Intelligence Laboratory, OpenDataLab · Shanghai Jiao Tong University +1
PPO-HRAP: Proximal Policy Optimization with a Hybrid Regime-Aware Policy for Risk-Controlled Trading
Oct 1, 2026Duong Hien Chi Kien, Thanh Trung HuynhReinforcement Learning Risk-Sensitive RL
College of Engineering and Computer Science, VinUniversity Ha Noi, Viet Nam
MASkillBlender: Decentralized Whole-Body Coordination for Multi-Humanoid Loco-Manipulation via Skill Blending
Oct 1, 2026Yifan Hu, Luhang Hong, Mingkang Long +5Humanoid Loco-Manipulation Reinforcement Learning
Nanyang Technological University · Southeast University · Purple Mountain Laboratories
Probe with Participation Trophies: Random-Reward RL as a Probe of LLM Capability
Oct 1, 2026Yu Mao, Lei Yu, Zining Zhu +6RL for Language Models Reinforcement Learning
University of Toronto · Stevens Institute of Technology · University of California, Santa Cruz +3
RISED: RubrIcs for agentic multi-environment Selection and sElf-Distillation
Oct 1, 2026Jingtan Wang, Sirajul Salekin, Young mok Jung +3Reinforcement Learning Rubric-Based RL
National University of Singapore · Work done during an internship at Apple · Apple
Learning Multiple Timescales for Goal-Conditioned Reinforcement Learning
Oct 1, 2026Pedro Robles Dutenhefner, Dikshant Shehmar, Wagner Meira +1Reinforcement Learning Offline RL
Universidade Federal de Minas Gerais · University of Alberta · Alberta Machine Intelligence Institute (Amii) +1
Crossing the Cyber Divide: Sim-to-Sim and Sim-to-Real Transfer for RL Agents
Sep 30, 2026Sabrina Saika, Yinuo Du, Aritran PiplaiReinforcement Learning Sim-to-Real Transfer
The University of Texas at El Paso, El Paso, TX, USA
Scalable Multi-Task Inverse Reinforcement Learning
Sep 30, 2026Allen Tran, Jia Wan, Nathan Kallus +1Reinforcement Learning Multi-Task RL
Netflix · Massachusetts Institute of Technology · Cornell Tech
ALER: Adaptive Learnable Experience Rewriting for Reinforcement Learning
Sep 30, 2026Oleg Shchendrigin, Egor Cherepanov, Aleksandr I. Panov +1RL Benchmarks Reinforcement Learning
Innopolis University, Innopolis, Russia · MIRIAI, Moscow, Russia · Cognitive AI Systems Lab, Moscow, Russia
Make Sparse Rewards Count: Density-Aware Reward Aggregation for Multi-Reward RL
Sep 30, 2026Tong Zheng, Skylar Zhai, Zhan Cheng +7Multi-Objective Reinforcement Learning Reinforcement Learning
University of Chinese Academy of Sciences · University of Minnesota Twin Cities · University of Wisconsin–Madison +5
PhantomEnvironments: Training LLM Agents in Fictional Worlds
Sep 30, 2026Anmol Kabra, Swathi Saravana Selvam, Albert Gong +5Multi-Hop QA Reinforcement Learning
Cornell University · Stanford University
MemLife: Curating and Reasoning over Long-Term Egocentric Video Memories
Sep 30, 2026Guangzhi Xiong, Xinyuan Zhang, Xiao Yang +14Multimodal Memory Reinforcement Learning
Meta Reality Labs · University of Virginia · Work done at Meta +1
Unlearnable, or Unmeasured? On the Reliability of Difficulty Labels in RLVR
Sep 30, 2026Chandak Chakma, Syed Nazmus Sakib, Nafiul Haque +1Reinforcement Learning RL for Language Model Reasoning
Department of Robotics and Mechatronics Engineering, University of Dhaka
Completion-Aware Cross-Fidelity Offline-to-Online Reinforcement Learning for Multi-Line Bus Holding
Sep 30, 2026Yifan Zhang, Qifan Zhang, Liang ZhengRL Control Reinforcement Learning
Central South University, Changsha, Hunan, China
T-Router: Learning Thalamic Routing for Reasoning with Parameter-Efficient Reinforcement Learning
Sep 30, 2026Liuxian Ma, Jiale Dai, Jiaqi Li +1Reinforcement Learning RL for Language Model Reasoning
College of Artificial Intelligence, Tsinghua University · State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University · Beijing Institute for General Artificial Intelligence
Loop-Free Inverse Reinforcement Learning via Sequential Value Recovery with Q-Score Matching
Sep 30, 2026Yang chen, Yitan Zhang, Michael Witbrock +1Reinforcement Learning
Shanghai Artificial Intelligence Laboratory · University of Auckland
DAMPER: Return-Prioritized Gradient Control for Smooth Policies
Sep 30, 2026Seokmin Ko, Taewon Goo, Kihyuk HongRL Control Reinforcement Learning
KAIST
Revisiting scaling laws for reward optimization
Sep 29, 2026Ali Aouad, Aymane El Gadarri, Vivek F. FariasReward Modeling Reinforcement Learning
MIT
MOBA-VL: Event-Localized Multi-Turn Reinforcement Learning for Real-Time MOBA Commentary
Sep 29, 2026Shengyun Zhong, Xinkang Zhao, Ziyuan Chu +1Reinforcement Learning Video-Language Models
Zhejiang University, China · Northeastern University, USA
Jaxolotl: A Unified High-Performance Benchmark Suite for LTL-Based Multi-Task RL
Sep 29, 2026Mathias Jackermeier, Jacques Cloete, Alessandro AbateRL Benchmarks Reinforcement Learning
Department of Computer Science, University of Oxford · Oxford Robotics Institute, University of Oxford
Unlocking the Critic: Reward-Free Policy Optimization for LLM Post-Training
Sep 29, 2026Hongyang Li, Xiao Li, Caesar Wu +3Reinforcement Learning Value Function Estimation
University of Luxembourg · Seafill Open-Source Community · Université Paris-Saclay
Cool the Sampler, Not the Learner: Sampling Temperature Moves the Staleness Cliff of Importance-Corrected GRPO
Sep 29, 2026Taiheng PanRL for Language Models Reinforcement Learning
The University of Melbourne
SCA: Spatial Credit Assignment for Reinforcement Learning of GUI Agents
Sep 29, 2026Shengtian Yang, Ziyu Xiong, Kaibing Yang +6Reinforcement Learning RL for GUI Agents
Southeast University, Nanjing, China · Kuaishou Technology, Beijing, China · Unaffiliated
State Trace Rationale As Auxiliary Task in Reinforcement Learning
Sep 29, 2026Muhammad U. Nasir, Alex Vogt, Steven D. James +1Reinforcement Learning Representation Learning for RL
University of the Witwatersrand Johannesburg, South Africa · New York University New York, USA
Group-Marginalized Self-Rewarding RL Drives Zero-Label Self-Evolving
Sep 29, 2026Yiming Wang, Yikang Liu, Qingyuan Tian +4RL for Language Models Reinforcement Learning
School of Computer Science, Shanghai Jiao Tong University · Tencent
Inducing Process Supervision from Outcome-Only Reinforcement Learning
Sep 29, 2026Shengda Fan, Xin Cong, Zhong Zhang +2Reinforcement Learning Process Reward Models
Renmin University of China · Tsinghua University · University of Electronic Science and Technology of China +1
SERA: Scale-Equalized Rollout Allocation for Maximum Likelihood Reinforcement Learning
Sep 29, 2026Zihao Chen, Fanxiang Xiong, Hongran Ren +6Reinforcement Learning RL for Language Model Reasoning
Harbin Institute of Technology, Shenzhen · The Chinese University of Hong Kong, Shenzhen · Nanyang Technological University
BRIDGE: Bilevel Retrieval-Credit-Aware Agentic Reinforcement Learning
Sep 29, 2026Quan Xiao, Mingda Liu, Gaowen Liu +2Reinforcement Learning Agentic RAG
Department of Electrical and Computer Engineering, Cornell University · Institute of Integrated Research, Institute of Science Tokyo · Cisco Research
Massively Parallel Reinforcement Learning with a Chaotic Reconfigurable Clockless Chip
Sep 28, 2026Eric Oliveira-Gomes, Damien RontaniReinforcement Learning Chaotic Dynamical Systems
CentraleSup´elec and Universit´e de Lorraine, LMOPS UR4423 Laboratory, Metz F-57070, France
ChronoSRL: Temporal Geometry for Self-Supervised Reinforcement Learning
Sep 28, 2026Nico Bohlinger, Jan PetersRL for Robotics Representation Learning
Technical University of Darmstadt, Germany · Robotics Institute Germany (RIG); German Research Center for AI (DFKI); hessian.AI
X-Reset: Scaling Object-Centric Reinforcement Learning via Cross-Embodiment Resets
Sep 28, 2026Prithwish Dan, Chenyang Ma, Wei ZhanReinforcement Learning Generalization in Robotic Manipulation
Applied Intuition · University of North Carolina at Chapel Hill · University of California, Berkeley
Provable Benefits of Regularization: Fast Rates for Adversarial Imitation Learning
Sep 28, 2026Hanbin Zhou, Shangzhe Li, Alexander Braverman +1Reinforcement Learning Adversarial Imitation Learning
HKUST(GZ) · UNC Chapel Hill · Cornell University

Oct 6, 2026, cs.LGJ/K move · Enter open · S save

Reinforcement Learning with Conformal Action Sets: An Application to Sequential Recommendation

Wenwen Si, Honghao Wei

University of Pennsylvania · Washington State University

Sequential Recommendation Reinforcement Learning Conformal Prediction Recommender Systems

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Sequential recommenders typically use a fixed slate size even though the number of useful alternatives changes within a session. We propose Reinforcement Learning with Calibrated Pruning (RLCP), which adapts the retained action set using critic scores and an online threshold. The threshold is updated from binary feedback indicating whether the set contains an action in a proxy target. We prove a deterministic bound on the observed proxy miss rate along adaptive trajectories. To quantify the effect of pruning on reward, we derive an exact decomposition of value loss into filtering and selection losses. Under explicit proxy and critic approximation conditions, this decomposition yields a finite session reward bound that also accounts for imperfect selection and set truncation, without requiring the learning parameters to converge. Experiments on KuaiRand-Pure and MovieLens 1M compare two RLCP implementations with four RL baselines. In each of the 19 configurations, at least one RLCP variant achieves the highest catalog diversity, reaching

1.11\times

5.21\times

that of the strongest baseline, with competitive session depth and no larger retained sets.

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Latest papers 1,125