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Starcraft

Starcraft I is a RTS game; the task is to train an agent to play the game.

( Image credit: Macro Action Selection with Deep Reinforcement Learning in StarCraft )

Papers

Showing 176200 of 311 papers

TitleStatusHype
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning0
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-LearningCode1
Cooperative Multi-Agent Reinforcement Learning with Sequential Credit AssignmentCode1
Gym-μRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement LearningCode1
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games0
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team CompositionCode1
SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning0
Deep Convolution for Irregularly Sampled Temporal Point Clouds0
Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients0
Optimize Neural Fictitious Self-Play in Regret Minimization Thinking0
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement LearningCode1
An Introduction of mini-AlphaStarCode1
C-COMA: A CONTINUAL REINFORCEMENT LEARNING MODEL FOR DYNAMIC MULTIAGENT ENVIRONMENTSCode1
NQMIX: Non-monotonic Value Function Factorization for Deep Multi-Agent Reinforcement Learning0
"Weak AI" is Likely to Never Become "Strong AI", So What is its Greatest Value for us?0
Regularized Softmax Deep Multi-Agent Q-Learning0
Meta-Learning for Planning: Automatic Synthesis of Sample Based Planners0
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent GamesCode1
Reinforcement Learning of Implicit and Explicit Control Flow in Instructions0
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning0
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents0
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-LearningCode1
Disturbing Reinforcement Learning Agents with Corrupted Rewards0
Rethinking the Implementation Matters in Cooperative Multi-Agent Reinforcement LearningCode1
RMIX: Risk-Sensitive Multi-Agent Reinforcement Learning0
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