Cover Image

Impartial Games: A Challenge for Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Bei, Riis, Søren
Format:	Preprint
Published:	2022
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploring Parity Challenges in Reinforcement Learning through Curriculum Learning with Noisy Labels
by: Zhou, Bei, et al.
Published: (2023)

Mastering NIM and Impartial Games with Weak Neural Networks: An AlphaZero-inspired Multi-Frame Approach
by: Riis, Søren
Published: (2024)

Heuristic Transformer: Belief Augmented In-Context Reinforcement Learning
by: Dippel, Oliver, et al.
Published: (2025)

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
by: Qing, Yunpeng, et al.
Published: (2022)

A Benchmark Environment for Offline Reinforcement Learning in Racing Games
by: Macaluso, Girolamo, et al.
Published: (2024)

Finding Kissing Numbers with Game-theoretic Reinforcement Learning
by: Ma, Chengdong, et al.
Published: (2025)

Reinforcement Learning Agent for a 2D Shooter Game
by: Ackermann, Thomas, et al.
Published: (2025)

Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning
by: Koyamada, Sotetsu, et al.
Published: (2023)

Efficient Reinforcement Learning for Zero-Shot Coordination in Evolving Games
by: Hui, Bingyu, et al.
Published: (2025)

Mastering the Game of Guandan with Deep Reinforcement Learning and Behavior Regulating
by: Yanggong, Yifan, et al.
Published: (2024)

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
by: Liang, Yongyuan, et al.
Published: (2023)

FlowCritic: Bridging Value Estimation with Flow Matching in Reinforcement Learning
by: Zhong, Shan, et al.
Published: (2025)

Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
by: Byeon, Woohyeon, et al.
Published: (2025)

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
by: Ghasemi, Majid, et al.
Published: (2024)

Combining Reinforcement Learning and Behavior Trees for NPCs in Video Games with AMD Schola
by: Liu, Tian, et al.
Published: (2025)

On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games
by: Altabaa, Awni, et al.
Published: (2024)

A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges
by: Liu, Guiliang, et al.
Published: (2024)

Continual Reinforcement Learning for Cyber-Physical Systems: Lessons Learned and Open Challenges
by: Nolle, Kim N., et al.
Published: (2025)

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models
by: Zook, Alex, et al.
Published: (2025)

Revisiting Regularized Policy Optimization for Stable and Efficient Reinforcement Learning in Two-Player Games
by: Ota, Kazuki, et al.
Published: (2026)

Mind the GAP! The Challenges of Scale in Pixel-based Deep Reinforcement Learning
by: Sokar, Ghada, et al.
Published: (2025)

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
by: Qu, Yun, et al.
Published: (2024)

A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions
by: Yu, Zhiyin, et al.
Published: (2026)

Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges
by: Franceschelli, Giorgio, et al.
Published: (2023)

The Alignment Problem from a Deep Learning Perspective
by: Ngo, Richard, et al.
Published: (2022)

Stratified GRPO: Handling Structural Heterogeneity in Reinforcement Learning of LLM Search Agents
by: Zhu, Mingkang, et al.
Published: (2025)

Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
by: Xu, Zelai, et al.
Published: (2023)

Reinforcement Learning-based Feature Generation Algorithm for Scientific Data
by: Xiao, Meng, et al.
Published: (2025)

Socially Integrated Navigation: A Social Acting Robot with Deep Reinforcement Learning
by: Flögel, Daniel, et al.
Published: (2024)

Imagination-Limited Q-Learning for Offline Reinforcement Learning
by: Liu, Wenhui, et al.
Published: (2025)

ReACT: Reinforcement Learning for Controller Parametrization using B-Spline Geometries
by: Rudolf, Thomas, et al.
Published: (2024)

Variance reduction of diffusion model's gradients with Taylor approximation-based control variate
by: Jeha, Paul, et al.
Published: (2024)

Yahtzee: Reinforcement Learning Techniques for Stochastic Combinatorial Games
by: Pape, Nicholas A.
Published: (2025)

The Procedural Content Generation Benchmark: An Open-source Testbed for Generative Challenges in Games
by: Khalifa, Ahmed, et al.
Published: (2025)

Semi-pessimistic Reinforcement Learning
by: Zhu, Jin, et al.
Published: (2025)

Towards Differentially Private Reinforcement Learning with General Function Approximation
by: He, Yi, et al.
Published: (2026)

Revealing the Challenges of Sim-to-Real Transfer in Model-Based Reinforcement Learning via Latent Space Modeling
by: Lin, Zhilin, et al.
Published: (2025)

When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback
by: Lang, Leon, et al.
Published: (2024)

Reinforcement Learning with Action Chunking
by: Li, Qiyang, et al.
Published: (2025)

Single-Trajectory Distributionally Robust Reinforcement Learning
by: Liang, Zhipeng, et al.
Published: (2023)