mehdiboubnan / Deep-Reinforcement-Learning-applied-to-DOOM

DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM

Date Created 2019-01-04 (6 years ago)

Commits 65 (last one 4 years ago)

Stargazers 84 (0 this week)

Watchers 3 (0 this week)

Forks 17

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RepositoryStats indexes 637,706 repositories, of these mehdiboubnan/Deep-Reinforcement-Learning-applied-to-DOOM is ranked #347,374 (46th percentile) for total stargazers, and #420,030 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #66,629/130,682.

mehdiboubnan/Deep-Reinforcement-Learning-applied-to-DOOM is also tagged with popular topics, for these it's ranked: pytorch (#3,995/6237), tensorflow (#1,611/2306), deep-reinforcement-learning (#258/380)

Other Information

mehdiboubnan/Deep-Reinforcement-Learning-applied-to-DOOM has Github issues enabled, there is 1 open issue and 3 closed issues.

All Topics

a3c ppo pytorch vizdoom curiosity tensorflow dueling-dqn actor-critic deep-q-learning curiosity-driven deep-reinforcement-learning

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updated: 2025-03-28 @ 09:18pm, id: 164047282 / R_kgDOCccpsg