Recurrent-ppo-truncated-bptt Alternatives

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  The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

  

• ppo-implementation-details

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  The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

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• neroRL

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  testing MLP, DQN, PPO, SAC, policy-gradient by snake

• PPO-PyTorch

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• episodic-transformer-memory-ppo

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• popgym

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• pytorch-a2c-ppo-acktr-gail

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  PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

• cleanrl

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  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)