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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 161–170 of 311 papers

TitleStatusHype
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi—0
Evolutionary Game-Theoretical Analysis for General Multiplayer Asymmetric Games—0
Exact Reduction of Huge Action Spaces in General Reinforcement Learning—0
Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning—0
Exploring Adaptive MCTS with TD Learning in miniXCOM—0
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning—0
Factored Action Spaces in Deep Reinforcement Learning—0
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning—0
Forecasting Evolution of Clusters in Game Agents with Hebbian Learning—0
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI—0
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