Key papers

• Secure Planning Against Stealthy Attacks via Model-Free Reinforcement Learning (2020)
  Alper Kamil Bozkurt et al.
  9.41
• Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play (2025)
  Qinsi Wang et al.
  8.40
• Generalization In Mean Field Games By Learning Master Policies (2021)
  Sarah Perrin, Mathieu Laurière, Julien Pérolat, et al.
  7.81
• Understanding Reasoning from Pretraining to Post-Training (2026)
  Jingyan Shen et al.
  7.63
• A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data (2024)
  Adrian Remonda et al.
  7.50
• Opponent Learning Awareness And Modelling In Multi-objective Normal Form Games (2020)
  Roxana Rădulescu, Timothy Verstraeten, Yijie Zhang, et al.
  7.16
• Planning in entropy-regularized Markov decision processes and games (2026)
  Jean-Bastien Grill et al.
  7.02
• SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training (2025)
  Tianzhe Chu et al.
  5.73
• CaM-Wolf: Causal-Aware Multimodal Agents for Social Deduction Games (2026)
  Zheng Zhang et al.
  5.44
• Playing 20 Question Game with Policy-Based Reinforcement Learning (2018)
  Huang Hu et al.
  5.24
• Emergent Sparsity in Frozen Random CNN Feature Extractors for Deep Reinforcement Learning (2026)
  Scott M. Norton
  4.95
• Post-Training at the Edge of Detectability: A Game-Theoretic Approach to Fine-Tuning (2026)
  Keegan Harris et al.
  4.95
• Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach (2026)
  Cengis Hasan
  4.95
• OpenSTARLab: Open Approach for Spatio-Temporal Agent Data Analysis in Soccer (2025)
  Calvin Yeung et al.
  4.71
• CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning (2025)
  Guoliang He et al.
  4.65
• PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers (2025)
  Michael Xu et al.
  4.36
• Reward-Adaptive Iterative Discovery: A Case Study on Automated Game Testing for NHL26 (2026)
  Florian Fuchs et al.
  4.33
• Pure Nash Equilibria in Graphical Games of Bounded Width Revisited (2026)
  Michael Lampis et al.
  4.33
• Deep Reinforcement Learning to Master the Asymmetric Strategy of Baghchal (2026)
  Ranjit Raut et al.
  4.33
• Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning (2026)
  Wentao Zhang et al.
  4.33
• Relative Value Learning (2026)
  Marc H\"oftmann et al.
  4.33
• Exploring cooperation mechanisms via reinforcement learning in network common-pool resource games (2026)
  Yihang Qin and Lin Wang
  4.27
• SVoT: State-aware Visualization-of-Thought for Spatial Reasoning via Reinforcement Learning (2026)
  Chao Lei et al.
  4.27
• Towards Scalable Multi-Task Reinforcement Learning with Large Decision Models (2026)
  Thibaut Kulak
  4.27
• Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork (2026)
  Yuheng Jing et al.
  4.22
• Safe Equilibrium Policy Optimization for Strategic Agent Policies (2026)
  Karthika Arumugam et al.
  4.22
• Human-Aligned Procedural Level Generation Reinforcement Learning via Text-Level-Sketch Shared Representation (2025)
  In-Chang Baek et al.
  3.86
• Empowering Economic Simulation For Massively Multiplayer Online Games Through Generative Agent-based Modeling (2025)
  Bihan Xu, Shiwei Zhao, Runze Wu, et al.
  3.75
• REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards (2025)
  Zafir Stojanovski et al.
  3.70
• Strategic Cyber Defense via Reinforcement Learning-Guided Combinatorial Auctions (2025)
  Mai Pham et al.
  2.99
• SPLASH! Sample-efficient Preference-based inverse reinforcement learning for Long-horizon Adversarial tasks from Suboptimal Hierarchical demonstrations (2025)
  Peter Crowley et al.
  2.87
• Hide-and-Shill: A Reinforcement Learning Framework for Market Manipulation Detection in Symphony-a Decentralized Multi-Agent System (2025)
  Ronghua Shi et al.
  2.87
• From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium (2025)
  Xie Yi et al.
  2.82
• Can you see how I learn? Human observers' inferences about Reinforcement Learning agents' learning processes (2025)
  Bernhard Hilpert et al.
  2.82
• Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning (2025)
  Tien Pham et al.
  2.71
• Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning (2025)
  Kyle Domico et al.
  2.65
• Level the Level: Balancing Game Levels for Asymmetric Player Archetypes With Reinforcement Learning (2025)
  Florian Rupp et al.
  2.65
• Learning from Active Human Involvement through Proxy Value Propagation (2025)
  Zhenghao Peng et al.
  2.60
• Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning (2025)
  Bidipta Sarkar et al.
  2.60
• Learning to Play Two-Player Perfect-Information Games without Knowledge (2020)
  Quentin Cohen-Solal
  2.53
• The Power of Regularization in Solving Extensive-Form Games (2022)
  Mingyang Liu et al.
  2.53
• Spiders Based on Anxiety: How Reinforcement Learning Can Deliver Desired User Experience in Virtual Reality Personalized Arachnophobia Treatment (2024)
  Athar Mahmoudi-Nejad et al.
  2.43
• Advantage Alignment Algorithms (2024)
  Juan Agustin Duque et al.
  2.26
• Rinascimento: Using Event-value Functions For Playing Splendor (2020)
  Ivan Bravi, Simon Lucas
  2.26
• Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning (2024)
  Maximilian N\"agele et al.
  2.21
• MindGames Arena Generalization Track: In2AI Solution with Delayed Per-Step Reward Attribution (2026)
  Aliaksei Korshuk et al.
  1.89
• Learning Empirically Admissible Neural Heuristics for Combinatorial Search (2026)
  Siddharth Sahay
  1.89
• Maximising the Set-Piece Return: Optimising Football Corner Tactics with Graph Reinforcement Learning (2026)
  Sean Groom et al.
  1.89
• Evaluating AI Investment Strategies (2026)
  Irene Aldridge
  1.89
• Reasoning Arena: Trace Tournaments When Verifiable Rewards Fall Short (2026)
  Han Zhou et al.
  1.89
• PolicyGuard: Towards Test-time and Step-level Adversary Defense for Reinforcement Learning Agent (2026)
  Junfeng Guo Heng Huang
  1.89
• Beyond Runtime Enforcement: Shield Synthesis as Defensibility Analysis for Adversarial Networks (2026)
  Achraf Hsain et al.
  1.89
• R2D-RL: A RoboCup 2D Soccer Environment for Multi-Agent Reinforcement Learning (2026)
  Haobin Qin et al.
  1.89
• Hierarachical Multiagent Reinforcement Learning For Multi-group Tax Game (2026)
  Honglei Guo, Yuhan Zhao, Yexin Li
  1.89
• Decentralized Optimal Equilibrium Learning In Stochastic Games Via Single-bit Feedback (2026)
  Seref Taha Kiremitci, Ahmed Said Donmez, Muhammed O. Sayin
  1.89
• Bayesian Learning In Episodic Zero-sum Games (2026)
  Chang-Wei Yueh, Andy Zhao, Ashutosh Nayyar, et al.
  1.89
• Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing (2026)
  Miao Wang et al.
  1.83
• Causal Reinforcement Learning for Complex Card Games: A Magic The Gathering Benchmark (2026)
  Cristiano da Costa Cunha et al.
  1.83
• Rethinking Priority Scheduling for Sequential Multi-Agent Decision Making in Stackelberg Games (2026)
  Xiangyu Liu et al.
  1.83
• Insider Attacks in Multi-Agent LLM Consensus Systems (2026)
  Xiaolin Sun et al.
  1.83