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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Neuroevolution Arena: Nested Ecological Evaluation of Update-and-Inheritance Regimes across Neural Architectures
Aug 10, 2026Yuxu Ge, Yifei ChengReinforcement Learning Artificial Life
University of York, United Kingdom
Efficient Real-World Online Reinforcement Learning for Robot Manipulation via Centralized Training and Critic Decomposition
Aug 10, 2026Changhao Li, Yifang Zhang, Heng Zhang +6Reinforcement Learning Robotic RL
HHCM, Istituto Italiano di Tecnologia, Genoa, Italy · DIBRIS, University of Genova, Genova, Italy · Human-Robot Interfaces and Interaction Lab, Istituto Italiano di Tecnologia, Genova, Italy +1
Beyond Solvability: Task Learnability as a Static Prior for LLM RL Post-Training
Aug 10, 2026Ting Zhou, Zhenqing Ling, Daoyuan Chen +4Reinforcement Learning RL for Language Model Reasoning
Sun Yat-Sen University · Alibaba Group
VTO: Visual Tool Orchestration for Video Anomaly Detection
Aug 8, 2026Rui Wang, Yeteng Wu, Xianling Zhang +1Reinforcement Learning Video Anomaly Detection
State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing, China
V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control
Aug 8, 2026Donghu Kim, Youngdo Lee, Hojoon Lee +6Reinforcement Learning Visual RL
KAIST · Mila – Québec AI Institute · Université de Montréal +2
The Sample Complexity of Policy Learning with Mu-Resets
Aug 7, 2026Gene LiReinforcement Learning Policy Learning
Learning Suffers More Than the Policy Class Under Partial Observability: A Closed-Form Analysis
Aug 7, 2026Idil GözelRL Control Reinforcement Learning
University College London · Department of Physics and Astronomy University College London, London, UK
Beyond Isolation: Unlocking Reinforcement Learning Component Synergy for Sample-Efficient Continuous Control
Aug 7, 2026Qi Zhao, Guozheng Ma, Yilun Kong +9Reinforcement Learning Experience Replay
Tsinghua University · Nanyang Technological University · Mila - Quebec Artificial Intelligence Institute +1
PAST: Prompt-Adaptive Sampling Termination for Efficient Diffusion Model
Aug 7, 2026Renye Yan, Jikang Cheng, You Wu +4Intrinsic Reward Methods Reinforcement Learning
Peking University Beijing, China
Does Latent Context Help? A Controlled Evaluation of Inverse Reinforcement Learning in Arctic Shipping
Aug 6, 2026Vaishnav Vaidheeswaran, Dilith Jayakody, Biruk Ambaw +3Reinforcement Learning Meta-Reinforcement Learning
Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada · Department of Industrial Engineering, Faculty of Engineering, Dalhousie University, Halifax, NS, Canada
Game-Theoretic Inverse Reinforcement Learning for Modeling Competitive Human Driving: A Cut-in Prediction Study
Aug 6, 2026Yu SongReinforcement Learning Autonomous Driving
Department of Civil and Architectural Engineering and Construction Management, University of Wyoming
ProDVI: Programmatic Dynamics Priors for Value Network Initialization
Aug 6, 2026Xinwei Liu, Junyuan Liang, Jianting Zhang +1Reinforcement Learning LLM-Guided RL
1Sun Yat-sen University · 2Purdue University
AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning
Aug 6, 2026Zi-Han Wang, Zhengxi Lu, Zhiyuan Yao +10Agentic RL Reinforcement Learning
Tsinghua University · Meituan · Zhejiang University
Training a Conditioned Video Game Agent on a VLM Annotated Dataset
Aug 6, 2026Katrin Schmid, Iuri FrosioReinforcement Learning Reward Design for RL
NVIDIA, Australia · NVIDIA, Italy
Reward Structure Shapes the Interaction Between Episodic Exploration and Neural Memory in Reinforcement Learning
Aug 5, 2026Jai Malegaonkar, Rohan Patil, Henrik I. ChristensenReinforcement Learning Partially Observable RL
Department of Computer Science and Engineering, UC San Diego, United States
Exact Model-Free Policy Iteration for Co-safe LTL Planning
Aug 5, 2026Zetong Xuan, Yu WangReinforcement Learning Policy Iteration
Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL 32611 USA
An Emerging Retail Portfolio Management Application: Personalized, Tax-Aware Reinforcement Learning with Natural Language Goals
Aug 5, 2026Ramin PishehvarReinforcement Learning Portfolio Optimization
Toward Integrating Adaptive Experience Replay and Online Uncertainty Estimation in Safe Actor-Critic Optimal Control
Aug 5, 2026Mahshad Rastegarmoghaddam, Davoud Nikkhouy, Shima SamadzadehRL Control Reinforcement Learning
Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy
Calibrating Artificial Guilt: Neurally Grounded Reward Shaping for Prosocial Multi-Agent Reinforcement Learning
Aug 5, 2026Aaditya Mehta, Arya ShahReinforcement Learning Reward Shaping
Mahatma Gandhi International School, Ahmedabad, India · Indian Institute of Technology, Gandhinagar, India
ATLAS: Adaptive Topological Learning with Abstract Successors for Continual Learning
Aug 5, 2026R. Blake Lawlor, Daniel S. BrownNon-Stationary RL Reinforcement Learning
1Kahlert School of Computing, University of Utah
Adaptive Finite-Budget Training for CVaR Risk-Aware Q-Learning
Aug 5, 2026Yifan Wu, Junjie Lei, Wenjie HuangReinforcement Learning Q-Learning
Department of Data and Systems Engineering The University of Hong Kong Hong Kong, Hong Kong SAR
Robust General Utility for Reinforcement Learning
Aug 4, 2026Zixuan Liu, Fangzheng Wu, Brian Summa +1Stochastic Optimization Reinforcement Learning
Department of Computer Science, Tulane University, New Orleans, LA, 70118, USA
PFM-HR: Pose Flow Matching for Humanoid Robots
Aug 4, 2026Yukang Gao, Yi Gu, Yangchen Zhou +9RL for Robotics Flow Matching
1HKUST(GZ) · 2Noitom Robotics · 4Google +1
Neurosymbolic Reasoning with Incremental Knowledge for Sample Efficient Hierarchical Reinforcement Learning
Aug 4, 2026Subrat Prasad Panda, Blaise Genest, Arvind EaswaranReinforcement Learning Symbolic Planning
CCDS, NTU Singapore · IPAL, CNRS, France
SP3O: Reinforcement Learning from Segment Preferences without Reward Modeling
Aug 3, 2026Evan Assmus, Qining Zhang, Lei YingReinforcement Learning Robotic RL
University of Michigan, Ann Arbor
Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model
Aug 3, 2026Joao F. DoriguelloMarkov Decision Processes Reinforcement Learning
HUN-REN Alfr´ed R´enyi Institute of Mathematics, Budapest, Hungary
Learning-Based Collaborative MEC for LLM Inference with Soft-Deadline Awareness via Transformer-Enhanced PPO
Aug 3, 2026Ngoc Hung Nguyen, Bjorn LandfeldtReinforcement Learning Transformer-Based RL
Department of Electrical and Information Technology, Lund University, P.O. Box 117, Lund 22100, Sweden
Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning
Aug 3, 2026Ankur Naskar, Vivek T A, Aditya Kumar +2Reinforcement Learning Risk-Sensitive RL
Indian Institute of Science, Bengaluru, India · Indian Institute of Technology Madras, Chennai, India
Reusing Rollouts under Policy Lag: Prefix-Normalized Policy Optimization for LLM Reinforcement Learning
Aug 2, 2026Wenhao Zhang, Yibo Xie, Rui Wang +9Reinforcement Learning RL for Language Model Reasoning
1Tencent · 2Harbin Institute of Technology · 3Jinan University +1
ReBRAC-v2: The Return of the King
Aug 2, 2026Denis Tarasov, Robert K. KatzschmannReinforcement Learning Offline RL
Soft Robotics Lab, D-MAVT ETH Zurich, Switzerland

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Neuroevolution Arena: Nested Ecological Evaluation of Update-and-Inheritance Regimes across Neural Architectures

Yuxu Ge, Yifei Cheng

University of York, United Kingdom

Reinforcement Learning Artificial Life AI Agent Evaluation Neuroevolution

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Competitive artificial-life systems can rank trained controllers differently under training and ecological evaluation. We present Neuroevolution Arena, a GPU-accelerated spatial ecology of independently parameterized neural-network cells, and an audit-tracked nested evaluation protocol. Three implementation-specific update-and-inheritance regimes (EvoEvo, EvoRL, and RLRL) are crossed with two neural architectures for 50,000 generations in three independent training runs per condition. One saved elite-controller artifact from each of the 18 runs enters an aligned-run frozen-evaluation design comprising 198 computational jobs. Pairwise effects average three seed-defined ecological contexts (two cooperation-permitting and one attack-permitting) within each aligned training-run block; the independent level remains n = 3 runs per condition. RL-enabled regimes attain higher recorded training fitness than EvoEvo, whereas pairwise outcomes show architecture-conditioned majority patterns and substantial artifact dependence. Six-way winners vary across artifacts and contexts, and the prespecified survival endpoint has a complete floor. We contribute a nested protocol that separates training-run artifacts from evaluation contexts and exposes, rather than conceals, their different sources of variation.

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Latest papers 1,138