Imagen de Portada

Light Aircraft Game : Basic Implementation and training results analysis

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Cao, Hanzhong
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Multiagent Systems
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Probabilistic Multi-Agent Aircraft Landing Time Prediction
por: Kim, Kyungmin, et al.
Publicado: (2025)

Open Ad Hoc Teamwork with Cooperative Game Theory
por: Wang, Jianhong, et al.
Publicado: (2024)

Scalable Offline Reinforcement Learning for Mean Field Games
por: Brunnbauer, Axel, et al.
Publicado: (2024)

A Tensor Network Implementation of Multi Agent Reinforcement Learning
por: Howard, Sunny
Publicado: (2024)

Complex Instruction Following with Diverse Style Policies in Football Games
por: Sun, Chenglu, et al.
Publicado: (2025)

Multi-agent Cooperative Games Using Belief Map Assisted Training
por: Huang, Qinwei, et al.
Publicado: (2024)

Internal State-Based Policy Gradient Methods for Partially Observable Markov Potential Games
por: Yang, Wonseok, et al.
Publicado: (2026)

Learning to Control Unknown Strongly Monotone Games
por: Chandak, Siddharth, et al.
Publicado: (2024)

Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games
por: Wu, Zixuan, et al.
Publicado: (2024)

Distributed Differentiable Dynamic Game for Multi-robot Coordination
por: Zhou, Yizhi, et al.
Publicado: (2022)

Generative adversarial imitation learning for robot swarms: Learning from human demonstrations and trained policies
por: Kraus, Mattes, et al.
Publicado: (2026)

Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models
por: Shi, Chengshuai, et al.
Publicado: (2024)

Ranking Joint Policies in Dynamic Games using Evolutionary Dynamics
por: Koliou, Natalia, et al.
Publicado: (2025)

Quantifying Skill and Chance: A Unified Framework for the Geometry of Games
por: Silver, David H.
Publicado: (2025)

Learning Strategy Representation for Imitation Learning in Multi-Agent Games
por: Lei, Shiqi, et al.
Publicado: (2024)

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

Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning
por: Wu, Zida, et al.
Publicado: (2025)

Linear Convergence of Independent Natural Policy Gradient in Games with Entropy Regularization
por: Sun, Youbang, et al.
Publicado: (2024)

Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning
por: Liu, Lin, et al.
Publicado: (2024)

Analysis of Multiscale Reinforcement Q-Learning Algorithms for Mean Field Control Games
por: Angiuli, Andrea, et al.
Publicado: (2024)

A Benchmark for Multi-Party Negotiation Games from Real Negotiation Data
por: Benac, Leo, et al.
Publicado: (2026)

Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games
por: Ge, Jiawei, et al.
Publicado: (2024)

Quantum Frog: Emergent Cooperation and Difficulty Scaling in a Quantized-Time Cooperative Game
por: Mankarious, Saad
Publicado: (2026)

MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal Control
por: Lee, Sunbowen, et al.
Publicado: (2024)

OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
por: Bokade, Rohit, et al.
Publicado: (2024)

GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents
por: Jiang, Haoyuan, et al.
Publicado: (2024)

Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management
por: Saifullah, M., et al.
Publicado: (2024)

Cooperative Target Detection with AUVs: A Dual-Timescale Hierarchical MARDL Approach
por: Xueyao, Zhang, et al.
Publicado: (2025)

Frontier Coding Agents Can Now Implement an AlphaZero Self-Play Machine Learning Pipeline For Connect Four That Performs Comparably to an External Solver
por: Sherwood, Joshua, et al.
Publicado: (2026)

Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
por: Wang, Xuefeng, et al.
Publicado: (2025)

Sustainable Smart Farm Networks: Enhancing Resilience and Efficiency with Decision Theory-Guided Deep Reinforcement Learning
por: Chen, Dian, et al.
Publicado: (2025)

A Large Language Model for Feasible and Diverse Population Synthesis
por: Lim, Sung Yoo, et al.
Publicado: (2025)

Learning Graph Representation of Agent Diffusers
por: Djenouri, Youcef, et al.
Publicado: (2025)

Large-Scale Mixed-Traffic and Intersection Control using Multi-agent Reinforcement Learning
por: Liu, Songyang, et al.
Publicado: (2025)

Integrated Noise and Safety Management in UAM via A Unified Reinforcement Learning Framework
por: Murthy, Surya, et al.
Publicado: (2025)

MobiAgent: A Systematic Framework for Customizable Mobile Agents
por: Zhang, Cheng, et al.
Publicado: (2025)

Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing
por: Amico, Jeffrey, et al.
Publicado: (2025)

Emergence of Hierarchies in Multi-Agent Self-Organizing Systems Pursuing a Joint Objective
por: Chen, Gang, et al.
Publicado: (2025)

Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM
por: Lassen, Oskar Bohn, et al.
Publicado: (2025)

MACTAS: Self-Attention-Based Inter-Agent Communication in Multi-Agent Reinforcement Learning with Action-Value Function Decomposition
por: Wojtala, Maciej, et al.
Publicado: (2025)