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)

Date Created 2018-01-13 (6 years ago)

Commits 25 (last one 3 years ago)

Stargazers 666 (0 this week)

Watchers 15 (0 this week)

Forks 110

License unknown

Ranking

RepositoryStats indexes 584,353 repositories, of these TianhongDai/reinforcement-learning-algorithms is ranked #72,831 (88th percentile) for total stargazers, and #145,605 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #11,562/116,326.

TianhongDai/reinforcement-learning-algorithms is also tagged with popular topics, for these it's ranked: deep-learning (#1,715/8389), pytorch (#1,126/5948), algorithm (#217/733), deep-reinforcement-learning (#78/362)

Other Information

TianhongDai/reinforcement-learning-algorithms has Github issues enabled, there are 6 open issues and 4 closed issues.

All Topics

a2c dqn ppo sac ddpg trpo pytorch algorithm atari2600 dueling-dqn flappy-bird actor-critic deep-learning soft-actor-critic deep-reinforcement-learning proximal-policy-optimization trust-region-policy-optimization

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The only known language in this repository is Python

updated: 2024-11-18 @ 05:59am, id: 117385390 / R_kgDOBv8org