# ikostrikov/pytorch-a2c-ppo-acktr-gail

<https://repo.masters-masters.com/en/repos/ikostrikov/pytorch-a2c-ppo-acktr-gail>

[Home](https://repo.masters-masters.com/en) › [ikostrikov](https://repo.masters-masters.com/en/owners/ikostrikov) › [pytorch-a2c-ppo-acktr-gail](https://repo.masters-masters.com/en/repos/ikostrikov/pytorch-a2c-ppo-acktr-gail)

ikostrikov/pytorch-a2c-ppo-acktr-gail has 3,909 stars on GitHub. Its RepoMasters card: RC tier. PyTorch implementation of Advantage Actor Critic (A2C)…

| Field | Value |
| --- | --- |
| Owner | [ikostrikov](https://repo.masters-masters.com/en/owners/ikostrikov) |
| Stars | 3,909 |
| Forks | 840 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Topics | pytorch, reinforcement-learning, deep-learning, deep-reinforcement-learning, actor-critic, advantage-actor-critic, a2c, ppo, proximal-policy-optimization, acktr |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [ikostrikov/pytorch-a2c-ppo-acktr-gail](https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail) |

## Repository

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).

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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