StarCraft II

'StarCraft II' is a benchmark dataset used to evaluate multi-agent reinforcement learning (MARL) systems by providing complex scenarios that require coordinated behavior among agents.

Papers using StarCraft II (48)

Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy Optimization2024 · 2 citesThe Heterogeneous Multi-Agent Challenge2025 · 1 citesLanguage-Driven Coordination and Learning in Multi-Agent Simulation Environments2025 · 1 citesR3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning2025 · 1 citesAn Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks2025 · 1 citesEpisodic Memory Temporal Consistency for Cooperative Multi-Agent Reinforcement Learning2026CoFlow: Coordinated Few-Step Flow for Offline Multi-Agent Decision Making2026Adaptive TD-Lambda for Cooperative Multi-agent Reinforcement Learning2026KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning2026Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus2026STAIRS-Former: Spatio-Temporal Attention with Interleaved Recursive Structure Transformer for Offline Multi-task Multi-agent Reinforcement Learning2026Learning Partial Action Replacement in Offline MARL2026Interpretable Failure Analysis in Multi-Agent Reinforcement Learning Systems2026Neutral Agent-based Adversarial Policy Learning against Deep Reinforcement Learning in Multi-party Open Systems2025$K$-Level Policy Gradients for Multi-Agent Reinforcement Learning2025HLSMAC: A New StarCraft Multi-Agent Challenge for High-Level Strategic Decision-Making2025$Agent^2$: An Agent-Generates-Agent Framework for Reinforcement Learning Automation2025Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity2025A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games2025Centralized Permutation Equivariant Policy for Cooperative Multi-Agent Reinforcement Learning2025From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination2025Sequence Modeling for N-Agent Ad Hoc Teamwork2025Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic Generation2025Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Delayed Observation2025JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes2025Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL2025Trajectory-Class-Aware Multi-Agent Reinforcement Learning2025Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation2025Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer2025BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems2025O-MAPL: Offline Multi-agent Preference Learning2025RMIO: A Model-Based MARL Framework for Scenarios with Observation Loss in Some Agents2024Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning2024QTypeMix: Enhancing Multi-Agent Cooperative Strategies through Heterogeneous and Homogeneous Value Decomposition2024 · 8 citesIntrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning2024 · 6 citesEfficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning2024 · 3 citesA Spatiotemporal Stealthy Backdoor Attack against Cooperative Multi-Agent Deep Reinforcement Learning2024 · 2 citesGroup-Aware Coordination Graph for Multi-Agent Reinforcement Learning2024 · 1 citesEfficient Multi-agent Reinforcement Learning by Planning2024 · 1 citesLAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning2024 · 1 citesSMAUG: A Sliding Multidimensional Task Window-Based MARL Framework for Adaptive Real-Time Subtask Recognition2024Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning2024N-Agent Ad Hoc Teamwork2024Improving Global Parameter-sharing in Physically Heterogeneous Multi-agent Reinforcement Learning with Unified Action Space2024On Stateful Value Factorization in Multi-Agent Reinforcement Learning2024ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization2024Stop Wandering, Find the Keys: LLMs Discriminate Key States for Efficient Multi-Agent Exploration2024Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning2024