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An implementation of Deep Deterministic Policy Gradients using PyTorch running running on Unity ML-Agents environments

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KJ-Waller/DDPG-Unity-PyTorch

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DDPG-Unity-PyTorch

Overview

An implementation of Deep Deterministic Policy Gradients using PyTorch running running on Unity ML-Agents environments

Dependencies

Visualizations of some trained agents

  • Walker environment
    • State space: 212
    • Action space: 39
    • Number of agents: 11

Gif of a trained agent playing the walker environment

  • 3DBall environment
    • State space: 8
    • Action space: 2
    • Number of agents: 12

Gif of a trained agent playing the 3DBall environment

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An implementation of Deep Deterministic Policy Gradients using PyTorch running running on Unity ML-Agents environments

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