chris-chris/pysc2-examples
StarCraft II - pysc2 Deep Reinforcement Learning Examples
Implements Deep Q-Network and Advantage Actor-Critic algorithms for StarCraft II mini-game tasks using Pysc2's environment API, OpenAI Baselines for RL agents, and TensorFlow 1.3 for neural networks. Supports advanced DQN variants including prioritized experience replay and dueling architectures, plus multi-agent A2C training with scripted opponents. Provides command-line configuration for algorithm selection, hyperparameter tuning, and TensorBoard logging.
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Language
Python
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Apache-2.0
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Last pushed
Mar 03, 2021
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