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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 101–110 of 311 papers

TitleStatusHype
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning—0
Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning—0
Implementing a Wall-In Building Placement in StarCraft with Declarative Programming—0
Exploring Adaptive MCTS with TD Learning in miniXCOM—0
Cooperative Multi-Agent Planning with Adaptive Skill Synthesis—0
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning—0
Action Categorization for Computationally Improved Task Learning and Planning—0
Forecasting Evolution of Clusters in Game Agents with Hebbian Learning—0
Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning—0
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning—0
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