StarCraftII

StarCraftII is a benchmark used to evaluate cooperative Multi-Agent Reinforcement Learning (MARL) algorithms, featuring tasks that involve multiple agents with varying abilities and individual policies.

Papers using StarCraftII (19)

Tleague: A Framework For Competitive Self-play Based Distributed Multi-agent Reinforcement Learning2020 · 12 citesAttention-guided Contrastive Role Representations For Multi-agent Reinforcement Learning2023 · 2 citesBridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus2026Sequence Modeling for N-Agent Ad Hoc Teamwork2025IFS: Information Flow Structure For Multi-agent Ad Hoc System2025Beyond Shallow Behavior: Task-Efficient Value-Based Multi-Task Offline MARL via Skill Discovery2025Multiagent Bidirectionally-coordinated Nets: Emergence Of Human-level Coordination In Learning To Play Starcraft Combat Games2017 · 272 citesEfficient Communication In Multi-agent Reinforcement Learning Via Variance Based Control2019 · 24 citesUneven: Universal Value Exploration For Multi-agent Reinforcement Learning2020 · 7 citesFcmnet: Full Communication Memory Net For Team-level Cooperation In Multi-agent Systems2022 · 6 citesLAGMA: Latent Goal-guided Multi-agent Reinforcement Learning2024 · 1 citesFP3O: Enabling Proximal Policy Optimization In Multi-agent Cooperation With Parameter-sharing Versatility2023Heterogeneous Multi-agent Reinforcement Learning Via Mirror Descent Policy Optimization2023Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control2019 · 33 citesLIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning2021 · 3 citesRACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning2022 · 2 citesVariational Offline Multi-agent Skill Discovery2024 · 1 citesHeterogeneous Multi-Agent Reinforcement Learning via Mirror Descent Policy Optimization2023FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility2023