GitHub / tomasspangelo / proximal-policy-optimization

An implementation from the state-of-the-art family of reinforcement learning algorithms Proximal Policy Optimization using normalized Generalized Advantage Estimation and optional batch mode training. The loss function incorporates an entropy bonus.

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Topics: actor-critic, deep-learning, entropy, gae, generalized-advantage-estimation, machine-learning, neural-network, open-ai, open-ai-gym, optimization, ppo, ppo-pytorch, proximal-policy-optimization, python, pytorch, reinforcement-learning, rl

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