Image de couverture de livre

VGC-Bench: Towards Mastering Diverse Team Strategies in Competitive Pokémon

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Angliss, Cameron, Cui, Jiaxun, Hu, Jiaheng, Rahman, Arrasy, Stone, Peter
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence Computer Science and Game Theory Machine Learning Multiagent Systems I.2.1; I.2.6
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
par: Wang, Caroline, et autres
Publié: (2025)

N-Agent Ad Hoc Teamwork
par: Wang, Caroline, et autres
Publié: (2024)

PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments
par: Schipper, Olivier, et autres
Publié: (2025)

SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognition
par: Dresvyanskiy, Denis, et autres
Publié: (2024)

Towards General Negotiation Strategies with End-to-End Reinforcement Learning
par: Renting, Bram M., et autres
Publié: (2024)

Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control
par: de Mol, Barbera, et autres
Publié: (2025)

Analysing Factorizations of Action-Value Networks for Cooperative Multi-Agent Reinforcement Learning
par: Castellini, Jacopo, et autres
Publié: (2019)

A survey of air combat behavior modeling using machine learning
par: Gorton, Patrick Ribu, et autres
Publié: (2024)

HieraMAS: Optimizing Intra-Node LLM Mixtures and Inter-Node Topology for Multi-Agent Systems
par: Yao, Tianjun, et autres
Publié: (2026)

QTypeMix: Enhancing Multi-Agent Cooperative Strategies through Heterogeneous and Homogeneous Value Decomposition
par: Fu, Songchen, et autres
Publié: (2024)

Learning Controllable and Diverse Player Behaviors in Multi-Agent Environments
par: Cilan, Atahan, et autres
Publié: (2025)

Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning
par: Hu, Tianmeng, et autres
Publié: (2025)

Networked Agents in the Dark: Team Value Learning under Partial Observability
par: Varela, Guilherme S., et autres
Publié: (2025)

DecisionBench: A Benchmark for Emergent Delegation in Long-Horizon Agentic Workflows
par: Gao, Yuxuan, et autres
Publié: (2026)

Differentiable Model Predictive Safety for Heterogeneous Mobility at Urban Intersections
par: Song, Wenzhe, et autres
Publié: (2026)

Augmenting deep neural networks with symbolic knowledge: Towards trustworthy and interpretable AI for education
par: Hooshyar, Danial, et autres
Publié: (2023)

Learning Approximate Nash Equilibria in Cooperative Multi-Agent Reinforcement Learning via Mean-Field Subsampling
par: Anand, Emile, et autres
Publié: (2026)

More at Stake: How Payoff and Language Shape LLM Agent Strategies in Cooperation Dilemmas
par: Huynh, Trung-Kiet, et autres
Publié: (2026)

Representational Collapse in Multi-Agent LLM Committees: Measurement and Diversity-Aware Consensus
par: Patel, Dipkumar
Publié: (2026)

SPIRAL: Self-Play Incremental Racing Algorithm for Learning in Multi-Drone Competitions
par: Akgün, Onur
Publié: (2025)

Difference Rewards Policy Gradients
par: Castellini, Jacopo, et autres
Publié: (2020)

Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach
par: Peralez, Johan, et autres
Publié: (2024)

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines
par: Maryanskyy, Artem
Publié: (2026)

Imitation learning for sim-to-real transfer of robotic cutting policies based on residual Gaussian process disturbance force model
par: Hathaway, Jamie, et autres
Publié: (2023)

End-to-end example-based sim-to-real RL policy transfer based on neural stylisation with application to robotic cutting
par: Hathaway, Jamie, et autres
Publié: (2026)

On Convex Optimal Value Functions For POSGs
par: Cunha, Rafael F., et autres
Publié: (2023)

Perfecting Aircraft Maneuvers with Reinforcement Learning
par: Cilan, Atahan, et autres
Publié: (2026)

Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations
par: Liu, Larkin, et autres
Publié: (2025)

Amortized Molecular Optimization via Group Relative Policy Optimization
par: Javaid, Muhammad bin, et autres
Publié: (2026)

Kolmogorov Arnold Networks and Multi-Layer Perceptrons: A Paradigm Shift in Neural Modelling
par: Gaonkar, Aradhya, et autres
Publié: (2026)

Distributional Reinforcement Learning for Condition-Based Maintenance of Multi-Pump Equipment
par: Yasuno, Takato
Publié: (2026)

SQARL: A Size-Agnostic Reinforcement Learning approach for Circuit Allocation in Distributed Quantum Architectures
par: Carballo, Víctor, et autres
Publié: (2026)

AI Agents for the Dhumbal Card Game: A Comparative Study
par: Malla, Sahaj Raj
Publié: (2025)

Autonomous Decision Making for UAV Cooperative Pursuit-Evasion Game with Reinforcement Learning
par: Zhao, Yang, et autres
Publié: (2024)

Decentralized Aerial Manipulation of a Cable-Suspended Load using Multi-Agent Reinforcement Learning
par: Zeng, Jack, et autres
Publié: (2025)

Enhancing Heterogeneous Multi-Agent Cooperation in Decentralized MARL via GNN-driven Intrinsic Rewards
par: Monon, Jahir Sadik, et autres
Publié: (2024)

Bimanual Robot Manipulation via Multi-Agent In-Context Learning
par: Palma, Alessio, et autres
Publié: (2026)

Multi-Agent Pathfinding with Non-Unit Integer Edge Costs via Enhanced Conflict-Based Search and Graph Discretization
par: Fan, Hongkai, et autres
Publié: (2026)

LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts
par: Hashemi, Helia, et autres
Publié: (2024)

One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents
par: Hong, Yoosung
Publié: (2026)