Cover Image

Abstracting Geo-specific Terrains to Scale Up Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ustun, Volkan, Hans, Soham, Kumar, Rajay, Wang, Yunzhe
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Data-Driven Discretized CS:GO Simulation Environment to Facilitate Strategic Multi-Agent Planning Research
by: Wang, Yunzhe, et al.
Published: (2025)

X-Ego: Acquiring Team-Level Tactical Situational Awareness via Cross-Egocentric Contrastive Video Representation Learning
by: Wang, Yunzhe, et al.
Published: (2025)

WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning
by: Xu, Zelai, et al.
Published: (2026)

Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning
by: Liu, Lunjun, et al.
Published: (2024)

Fluid-Agent Reinforcement Learning
by: Sharma, Shishir, et al.
Published: (2026)

Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints
by: Qiao, Dan, et al.
Published: (2024)

GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning
by: Yu, Xiaoyang, et al.
Published: (2023)

Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects
by: Wang, Xihuai, et al.
Published: (2022)

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

Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning
by: Li, Xinran, et al.
Published: (2025)

Reinforcement Networks: novel framework for collaborative Multi-Agent Reinforcement Learning tasks
by: Kryzhanovskiy, Maksim, et al.
Published: (2025)

Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems
by: Lee, Xian Yeow, et al.
Published: (2024)

Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning
by: Huh, Dom, et al.
Published: (2024)

PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning
by: Hu, Kun, et al.
Published: (2025)

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning
by: Yang, Kuo, et al.
Published: (2025)

Efficient Multi-agent Reinforcement Learning by Planning
by: Liu, Qihan, et al.
Published: (2024)

Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
by: Yin, Qiyue, et al.
Published: (2022)

Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
by: Castagna, Alberto
Published: (2025)

Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning
by: Xu, Linjie, et al.
Published: (2024)

RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
by: Shen, Siqi, et al.
Published: (2023)

Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
by: Li, Simin, et al.
Published: (2025)

Assessing the Impact of Distribution Shift on Reinforcement Learning Performance
by: Fujimoto, Ted, et al.
Published: (2024)

Multi-agent Reinforcement Learning: A Comprehensive Survey
by: Huh, Dom, et al.
Published: (2023)

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
by: Liu, Shunyu, et al.
Published: (2022)

Offline and Distributional Reinforcement Learning for Radio Resource Management
by: Eldeeb, Eslam, et al.
Published: (2024)

BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
by: Bettini, Matteo, et al.
Published: (2023)

Towards Fault Tolerance in Multi-Agent Reinforcement Learning
by: Shi, Yuchen, et al.
Published: (2024)

Multi-Agent Car Parking using Reinforcement Learning
by: Tanner, Omar
Published: (2022)

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
by: Lee, Sunwoo, et al.
Published: (2026)

MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
by: Zhu, Liwen, et al.
Published: (2021)

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning
by: Gu, Hankang, et al.
Published: (2025)

Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies
by: Chalumeau, Felix, et al.
Published: (2025)

Hierarchical Reinforcement Learning for Optimal Agent Grouping in Cooperative Systems
by: Hu, Liyuan
Published: (2025)

Reward-Independent Messaging for Decentralized Multi-Agent Reinforcement Learning
by: Yoshida, Naoto, et al.
Published: (2025)

Decentralizing Multi-Agent Reinforcement Learning with Temporal Causal Information
by: Corazza, Jan, et al.
Published: (2025)

Turn-based Multi-Agent Reinforcement Learning Model Checking
by: Gross, Dennis
Published: (2025)

The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning
by: Li, Yurui, et al.
Published: (2025)

Combining Planning and Reinforcement Learning for Solving Relational Multiagent Domains
by: Prabhakar, Nikhilesh, et al.
Published: (2025)

Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning
by: Liao, Wei-Chen, et al.
Published: (2025)

Coordination Matters: Evaluation of Cooperative Multi-Agent Reinforcement Learning
by: Cardei, Maria Ana, et al.
Published: (2026)