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https://github.com/TianhongDai/reinforcement-learning-algorithms
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
https://github.com/TianhongDai/reinforcement-learning-algorithms
a2c actor-critic algorithm atari2600 ddpg deep-learning deep-reinforcement-learning dqn dueling-dqn flappy-bird ppo proximal-policy-optimization pytorch sac soft-actor-critic trpo trust-region-policy-optimization
Last synced: 3 months ago
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This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
- Host: GitHub
- URL: https://github.com/TianhongDai/reinforcement-learning-algorithms
- Owner: TianhongDai
- Created: 2018-01-13T23:02:14.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2021-01-16T15:24:20.000Z (almost 4 years ago)
- Last Synced: 2024-04-28T23:48:54.662Z (7 months ago)
- Topics: a2c, actor-critic, algorithm, atari2600, ddpg, deep-learning, deep-reinforcement-learning, dqn, dueling-dqn, flappy-bird, ppo, proximal-policy-optimization, pytorch, sac, soft-actor-critic, trpo, trust-region-policy-optimization
- Language: Python
- Homepage:
- Size: 3.94 MB
- Stars: 646
- Watchers: 15
- Forks: 104
- Open Issues: 6
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Metadata Files:
- Readme: README.md