{"id":19226579,"url":"https://github.com/huichuanli/play_with_deep_reinforcement_learning","last_synced_at":"2026-02-23T22:10:02.491Z","repository":{"id":133420334,"uuid":"395042978","full_name":"HuichuanLI/play_with_deep_reinforcement_learning","owner":"HuichuanLI","description":"玩转深度强化学习","archived":false,"fork":false,"pushed_at":"2025-02-23T07:39:08.000Z","size":2951,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-01T07:24:21.416Z","etag":null,"topics":["actorcritic","dqn","policy-gradient"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n\n# Table of Contents\n我的深度强化学习算法库\n\n# Some RL Networks\n### [Deep Q Network](contents/5_Deep_Q_Network)\n\n\u003ca href=\"contents/5_Deep_Q_Network\"\u003e\n    \u003cimg class=\"course-image\" src=\"https://mofanpy.com/static/results/reinforcement-learning/4-3-2.png\"\u003e\n\u003c/a\u003e\n\n### [Double DQN](contents/5.1_Double_DQN)\n\n\u003ca href=\"contents/5.1_Double_DQN\"\u003e\n    \u003cimg class=\"course-image\" src=\"https://mofanpy.com/static/results/reinforcement-learning/4-5-3.png\"\u003e\n\u003c/a\u003e\n\n### [Dueling DQN](contents/5.3_Dueling_DQN)\n\n\u003ca href=\"contents/5.3_Dueling_DQN\"\u003e\n    \u003cimg class=\"course-image\" src=\"https://mofanpy.com/static/results/reinforcement-learning/4-7-4.png\"\u003e\n\u003c/a\u003e\n\n### [Actor Critic](contents/8_Actor_Critic_Advantage)\n\n\u003ca href=\"contents/8_Actor_Critic_Advantage\"\u003e\n    \u003cimg class=\"course-image\" src=\"https://mofanpy.com/static/results/reinforcement-learning/6-1-1.png\"\u003e\n\u003c/a\u003e\n\n### [Deep Deterministic Policy Gradient](contents/9_Deep_Deterministic_Policy_Gradient_DDPG)\n\n\u003ca href=\"contents/9_Deep_Deterministic_Policy_Gradient_DDPG\"\u003e\n    \u003cimg class=\"course-image\" src=\"https://mofanpy.com/static/results/reinforcement-learning/6-2-2.png\"\u003e\n\u003c/a\u003e\n\n### [A3C](contents/10_A3C)\n\n\u003ca href=\"contents/10_A3C\"\u003e\n    \u003cimg class=\"course-image\" src=\"https://mofanpy.com/static/results/reinforcement-learning/6-3-2.png\"\u003e\n\u003c/a\u003e\n\n### [Proximal Policy Optimization (PPO)](contents/12_Proximal_Policy_Optimization)\n\n\u003ca href=\"contents/12_Proximal_Policy_Optimization\"\u003e\n    \u003cimg class=\"course-image\" src=\"https://mofanpy.com/static/results/reinforcement-learning/6-4-3.png\"\u003e\n\u003c/a\u003e\n\n### [Curiosity Model](/contents/Curiosity_Model)\n\n\u003ca href=\"/contents/Curiosity_Model\"\u003e\n    \u003cimg class=\"course-image\" src=\"/contents/Curiosity_Model/Curiosity.png\"\u003e\n\u003c/a\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhuichuanli%2Fplay_with_deep_reinforcement_learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhuichuanli%2Fplay_with_deep_reinforcement_learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhuichuanli%2Fplay_with_deep_reinforcement_learning/lists"}