{"total":131,"rows":[{"id":"2312.00886","title":"Nash Learning from Human Feedback","created":"2023-12-01","cited_by_count":224,"area":"alignment"},{"id":"2302.10329","title":"Harms from Increasingly Agentic Algorithmic Systems","created":"2023-02-20","cited_by_count":135,"area":"agents"},{"id":"2310.01320","title":"Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation","created":"2023-10-02","cited_by_count":104,"area":"lr"},{"id":"2406.04268","title":"Open-Endedness is Essential for Artificial Superhuman Intelligence","created":"2024-06-06","cited_by_count":80,"area":null},{"id":"2502.03349","title":"Robust Autonomy Emerges from Self-Play","created":"2025-02-05","cited_by_count":67,"area":null},{"id":"2408.01584","title":"GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS","created":"2024-08-02","cited_by_count":45,"area":"driving"},{"id":"2312.01350","title":"Honesty Is the Best Policy: Defining and Mitigating AI Deception","created":"2023-12-03","cited_by_count":40,"area":null},{"id":"2402.17257","title":"RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences","created":"2024-02-27","cited_by_count":39,"area":"deeprl"},{"id":"2310.09139","title":"The Consensus Game: Language Model Generation via Equilibrium Search","created":"2023-10-13","cited_by_count":36,"area":null},{"id":"2303.02738","title":"Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback","created":"2023-03-05","cited_by_count":30,"area":null},{"id":"2308.07870","title":"Brain-inspired Computational Intelligence via Predictive Coding","created":"2023-08-15","cited_by_count":30,"area":null},{"id":"2211.00241","title":"Adversarial Policies Beat Superhuman Go AIs","created":"2022-11-01","cited_by_count":29,"area":null},{"id":"2303.00466","title":"ASP: Learn a Universal Neural Solver!","created":"2023-03-01","cited_by_count":27,"area":null},{"id":"2408.01072","title":"A Survey on Self-play Methods in Reinforcement Learning","created":"2024-08-02","cited_by_count":26,"area":"deeprl"},{"id":"2211.15557","title":"Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies","created":"2022-11-28","cited_by_count":23,"area":null},{"id":"2503.06047","title":"DSGBench: A Diverse Strategic Game Benchmark for Evaluating LLM-based Agents in Complex Decision-Making Environments","created":"2025-03-08","cited_by_count":23,"area":"agents"},{"id":"2502.14706","title":"Building reliable sim driving agents by scaling self-play","created":"2025-02-20","cited_by_count":21,"area":null},{"id":"2211.07819","title":"General Intelligence Requires Rethinking Exploration","created":"2022-11-15","cited_by_count":20,"area":null},{"id":"2410.16714","title":"Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment","created":"2024-10-22","cited_by_count":20,"area":"alignment"},{"id":"2401.17749","title":"SwarmBrain: Embodied agent for real-time strategy game StarCraft II via large language models","created":"2024-01-31","cited_by_count":19,"area":"agents"},{"id":"2506.12822","title":"Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models","created":"2025-06-15","cited_by_count":15,"area":"mllm"},{"id":"2301.13120","title":"Doubly Optimal No-Regret Learning in Monotone Games","created":"2023-01-30","cited_by_count":14,"area":null},{"id":"2406.10631","title":"Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms","created":"2024-06-15","cited_by_count":14,"area":null},{"id":"2405.19909","title":"Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning","created":"2024-05-30","cited_by_count":13,"area":"offlinerl"},{"id":"2407.00401","title":"PUZZLES: A Benchmark for Neural Algorithmic Reasoning","created":"2024-06-29","cited_by_count":13,"area":null},{"id":"2502.08938","title":"Reevaluating Policy Gradient Methods for Imperfect-Information Games","created":"2025-02-13","cited_by_count":13,"area":"deeprl"},{"id":"2207.06541","title":"Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games","created":"2022-07-13","cited_by_count":11,"area":null},{"id":"2212.12567","title":"Adapting to game trees in zero-sum imperfect information games","created":"2022-12-23","cited_by_count":11,"area":null},{"id":"2303.04096","title":"Mastering Strategy Card Game (Legends of Code and Magic) via End-to-End Policy and Optimistic Smooth Fictitious Play","created":"2023-03-07","cited_by_count":10,"area":null},{"id":"2303.12287","title":"Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games","created":"2023-03-22","cited_by_count":10,"area":null},{"id":"2306.16688","title":"SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores","created":"2023-06-29","cited_by_count":10,"area":null},{"id":"2403.02227","title":"Policy Space Response Oracles: A Survey","created":"2024-03-04","cited_by_count":10,"area":null},{"id":"2404.17662","title":"PLAYER*: Enhancing LLM-based Multi-Agent Communication and Interaction in Murder Mystery Games","created":"2024-04-26","cited_by_count":10,"area":"agents"},{"id":"2405.18520","title":"Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL","created":"2024-05-28","cited_by_count":10,"area":"deeprl"},{"id":"2502.17625","title":"Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback","created":"2025-02-24","cited_by_count":10,"area":null},{"id":"2307.11546","title":"Towards practical reinforcement learning for tokamak magnetic control","created":"2023-07-21","cited_by_count":9,"area":null},{"id":"2410.23223","title":"COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences","created":"2024-10-30","cited_by_count":8,"area":"alignment"},{"id":"2506.03464","title":"From Average-Iterate to Last-Iterate Convergence in Games: A Reduction and Its Applications","created":"2025-06-04","cited_by_count":8,"area":null},{"id":"2511.07312","title":"Scalable Decision Making for Games of Imperfect Information","created":"2025-11-10","cited_by_count":8,"area":"deeprl"},{"id":"2208.02204","title":"Efficiently Computing Nash Equilibria in Adversarial Team Markov Games","created":"2022-08-03","cited_by_count":7,"area":null},{"id":"2301.09159","title":"Abstracting Imperfect Information Away from Two-Player Zero-Sum Games","created":"2023-01-22","cited_by_count":6,"area":null},{"id":"2506.01242","title":"General search techniques without common knowledge for imperfect-information games, and application to superhuman Fog of War chess","created":"2025-06-02","cited_by_count":6,"area":null},{"id":"2207.01773","title":"Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games","created":"2022-07-05","cited_by_count":5,"area":null},{"id":"2302.03439","title":"Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning","created":"2023-02-07","cited_by_count":5,"area":null},{"id":"2303.03196","title":"Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning","created":"2023-03-02","cited_by_count":5,"area":null},{"id":"2312.08365","title":"An Invitation to Deep Reinforcement Learning","created":"2023-12-13","cited_by_count":5,"area":null},{"id":"2405.19080","title":"OMPO: A Unified Framework for RL under Policy and Dynamics Shifts","created":"2024-05-29","cited_by_count":5,"area":"deeprl"},{"id":"2408.00751","title":"A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence","created":"2024-08-01","cited_by_count":5,"area":"deeprl"},{"id":"2503.00030","title":"RSPO: Regularized Self-Play Alignment of Large Language Models","created":"2025-02-24","cited_by_count":5,"area":"alignment"},{"id":"2510.20235","title":"Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach","created":"2025-10-23","cited_by_count":5,"area":"deeprl"},{"id":"2401.13447","title":"Symbolic Equation Solving via Reinforcement Learning","created":"2024-01-24","cited_by_count":4,"area":"deeprl"},{"id":"2406.09614","title":"Trainability issues in quantum policy gradients","created":"2024-06-13","cited_by_count":4,"area":"deeprl"},{"id":"2502.08365","title":"Towards Principled Unsupervised Multi-Agent Reinforcement Learning","created":"2025-02-12","cited_by_count":4,"area":null},{"id":"2504.04395","title":"Human-Level Competitive Pok\\'emon via Scalable Offline Reinforcement Learning with Transformers","created":"2025-04-06","cited_by_count":4,"area":"offlinerl"},{"id":"2507.23391","title":"Policy Learning from Large Vision-Language Model Feedback without Reward Modeling","created":"2025-07-31","cited_by_count":4,"area":"mllm"},{"id":"2309.12226","title":"Smooth Nash Equilibria: Algorithms and Complexity","created":"2023-09-21","cited_by_count":3,"area":null},{"id":"2310.11518","title":"Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability","created":"2023-10-17","cited_by_count":3,"area":null},{"id":"2312.16609","title":"Exploiting hidden structures in non-convex games for convergence to Nash equilibrium","created":"2023-12-27","cited_by_count":3,"area":null},{"id":"2410.01064","title":"Truth or Deceit? A Bayesian Decoding Game Enhances Consistency and Reliability","created":"2024-10-01","cited_by_count":3,"area":null},{"id":"2509.23802","title":"STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement Learning","created":"2025-09-28","cited_by_count":3,"area":"alignment"},{"id":"2210.09646","title":"RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning","created":"2022-10-18","cited_by_count":2,"area":null},{"id":"2302.14312","title":"Auxiliary Task-based Deep Reinforcement Learning for Quantum Control","created":"2023-02-28","cited_by_count":2,"area":null},{"id":"2303.01074","title":"Learning not to Regret","created":"2023-03-02","cited_by_count":2,"area":null},{"id":"2308.04719","title":"JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games","created":"2023-08-09","cited_by_count":2,"area":null},{"id":"2310.04796","title":"Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning","created":"2023-10-07","cited_by_count":2,"area":null},{"id":"2312.12067","title":"Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence Beyond the Minty Property","created":"2023-12-19","cited_by_count":2,"area":null},{"id":"2402.19420","title":"Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning","created":"2024-02-29","cited_by_count":2,"area":null},{"id":"2503.02825","title":"On Separation Between Best-Iterate, Random-Iterate, and Last-Iterate Convergence of Learning in Games","created":"2025-03-04","cited_by_count":2,"area":null},{"id":"2509.17192","title":"Shall We Play a Game? Language Models for Open-ended Wargames","created":"2025-09-21","cited_by_count":2,"area":null},{"id":"2510.05048","title":"Look-ahead Reasoning with a Learned Model in Imperfect Information Games","created":"2025-10-06","cited_by_count":2,"area":"lr"},{"id":"2510.11691","title":"Tight Regret Upper and Lower Bounds for Optimistic Hedge in Two-Player Zero-Sum Games","created":"2025-10-13","cited_by_count":2,"area":null},{"id":"2510.18183","title":"NashPG: A Policy Gradient Method with Iteratively Refined Regularization for Finding Nash Equilibria","created":"2025-10-21","cited_by_count":2,"area":"deeprl"},{"id":"2510.22158","title":"Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics","created":"2025-10-25","cited_by_count":2,"area":"deeprl"},{"id":"2606.28308","title":"Which Nash Equilibrium? Solver-Dependent Selection on Zero-Sum Nash Polytopes","created":"2026-06-26","cited_by_count":2,"area":null},{"id":"2211.11886","title":"Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition","created":"2022-11-21","cited_by_count":1,"area":null},{"id":"2212.11890","title":"Decoding surface codes with deep reinforcement learning and probabilistic policy reuse","created":"2022-12-22","cited_by_count":1,"area":null},{"id":"2212.14431","title":"Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games","created":"2022-12-29","cited_by_count":1,"area":null},{"id":"2301.08830","title":"ApproxED: Approximate exploitability descent via learned best responses","created":"2023-01-20","cited_by_count":1,"area":null},{"id":"2306.07372","title":"Composing Efficient, Robust Tests for Policy Selection","created":"2023-06-12","cited_by_count":1,"area":null},{"id":"2311.01609","title":"Responsible Emergent Multi-Agent Behavior","created":"2023-11-02","cited_by_count":1,"area":null},{"id":"2403.00841","title":"Offline Fictitious Self-Play for Competitive Games","created":"2024-02-29","cited_by_count":1,"area":"offlinerl"},{"id":"2405.11746","title":"Configurable Mirror Descent: Towards a Unification of Decision Making","created":"2024-05-20","cited_by_count":1,"area":null},{"id":"2405.14346","title":"Mixture of Public and Private Distributions in Imperfect Information Games","created":"2024-05-23","cited_by_count":1,"area":null},{"id":"2407.05864","title":"Neural Network-based Information Set Weighting for Playing Reconnaissance Blind Chess","created":"2024-07-08","cited_by_count":1,"area":null},{"id":"2503.10186","title":"Convergence and Connectivity: Dynamics of Multi-Agent Q-Learning in Random Networks","created":"2025-03-13","cited_by_count":1,"area":null},{"id":"2506.01927","title":"Online Competitive Information Gathering for Partially Observable Trajectory Games","created":"2025-06-02","cited_by_count":1,"area":null},{"id":"2507.06825","title":"Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning","created":"2025-07-09","cited_by_count":1,"area":"deeprl"},{"id":"2511.08922","title":"Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning","created":"2025-11-12","cited_by_count":1,"area":"diffusion"},{"id":"2602.10894","title":"Revisiting Regularized Policy Optimization for Stable and Efficient Reinforcement Learning in Two-Player Games","created":"2026-02-11","cited_by_count":1,"area":"deeprl"},{"id":"2602.11857","title":"Scale-Invariant Fast Convergence in Games","created":"2026-02-12","cited_by_count":1,"area":null},{"id":"2605.14379","title":"Data-Augmented Game Starts for Accelerating Self-Play Exploration in Imperfect Information Games","created":"2026-05-14","cited_by_count":1,"area":"deeprl"},{"id":"2606.23995","title":"EMAgnet: Parameter-Space EMA Regularization for Policy Gradient Self-Play in Large Games","created":"2026-06-22","cited_by_count":1,"area":"deeprl"},{"id":"2606.29457","title":"How Much Due Diligence Before You Bid? Learning in Intractable Takeover Auctions","created":"2026-06-28","cited_by_count":1,"area":null},{"id":"2607.17543","title":"The Curvature Shadow: An Apparent Failure of Maximum-Entropy Equilibrium Selection is a Removable Artifact","created":"2026-07-20","cited_by_count":1,"area":null},{"id":"2210.12896","title":"Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning","created":"2022-10-24","cited_by_count":0,"area":null},{"id":"2303.09056","title":"Generating synthetic multi-dimensional molecular-mediator time series data for artificial intelligence-based disease trajectory forecasting and drug development digital twins: Considerations","created":"2023-03-16","cited_by_count":0,"area":null},{"id":"2304.12778","title":"Loss- and Reward-Weighting for Efficient Distributed Reinforcement Learning","created":"2023-04-25","cited_by_count":0,"area":null},{"id":"2305.18380","title":"Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles","created":"2023-05-28","cited_by_count":0,"area":"driving"},{"id":"2306.11748","title":"The Manipulation Problem: Conversational AI as a Threat to Epistemic Agency","created":"2023-06-19","cited_by_count":0,"area":null},{"id":"2307.08598","title":"Glamour muscles: why having a body is not what it means to be embodied","created":"2023-07-17","cited_by_count":0,"area":null}],"next_cursor":"100"}