pytorch-a2c-ppo-acktr-gail

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).

deep-learning

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3.8k Stars

839 Forks

3.8k Watchers

Python Language

mit License

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$445.4K

Market Value

$2.08M

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Growth over time

7 data points · 2021-08-01 → 2025-08-01

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What is the ikostrikov/pytorch-a2c-ppo-acktr-gail GitHub project? Description: "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).". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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