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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

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Showing 201–210 of 311 papers

TitleStatusHype
Revisiting the Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning—0
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning—0
Influence-Based Reinforcement Learning for Intrinsically-Motivated Agents—0
Adversary agent reinforcement learning for pursuit-evasion—0
An Approach to Partial Observability in Games: Learning to Both Act and Observe—0
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning—0
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi—0
MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning—0
Truthful Self-Play—0
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning—0
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