# deep-reinforcement-learning ## deep-reinforcement-learning - [介绍](https://hujian.gitbook.io/deep-reinforcement-learning/master.md): @gitbook - [神经网络](https://hujian.gitbook.io/deep-reinforcement-learning/qian-yan/shen-jing-wang-luo-mo-xing.md) - [研究平台](https://hujian.gitbook.io/deep-reinforcement-learning/qian-yan/yan-jiu-ping-tai.md) - [街机游戏](https://hujian.gitbook.io/deep-reinforcement-learning/qian-yan/yan-jiu-ping-tai/jie-ji-you-xi.md) - [竞速游戏](https://hujian.gitbook.io/deep-reinforcement-learning/qian-yan/yan-jiu-ping-tai/jing-su-you-xi.md) - [第一人称射击游戏](https://hujian.gitbook.io/deep-reinforcement-learning/qian-yan/yan-jiu-ping-tai/di-yi-ren-cheng-she-ji-you-xi.md) - [开放世界游戏](https://hujian.gitbook.io/deep-reinforcement-learning/qian-yan/yan-jiu-ping-tai/kai-fang-shi-jie-you-xi.md) - [即时战略游戏](https://hujian.gitbook.io/deep-reinforcement-learning/qian-yan/yan-jiu-ping-tai/ji-shi-zhan-lve-you-xi.md) - [团队体育游戏](https://hujian.gitbook.io/deep-reinforcement-learning/qian-yan/yan-jiu-ping-tai/tuan-dui-ti-yu-you-xi.md) - [文字冒险游戏](https://hujian.gitbook.io/deep-reinforcement-learning/qian-yan/yan-jiu-ping-tai/wen-zi-mao-xian-you-xi.md) - [OpenAI Gym & Universe](https://hujian.gitbook.io/deep-reinforcement-learning/qian-yan/yan-jiu-ping-tai/openai-gym-and-universe.md) - [街机游戏](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi.md) - [DQN](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/deep-q-network.md) - [DRQN](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/deep-recurrent-q-learning.md) - [Gorila](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/distributed-deep-q-learning.md) - [Double DQN](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/double-deep-q-learning.md) - [Prioritized Experience Replay](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/prioritized-experience-replay.md) - [Dueling DQN](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/dueling-deep-q-network.md) - [Bootstrapped DQN](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/bootstrapped-deep-q-network.md) - [Multiagent DQN](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/multiagent-deep-q-network.md) - [Progressive Neural Networks](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/progressive-neural-networks.md) - [A3C](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/asynchronous-deep-reinforcement-learning.md) - [Retrace(λ)](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/retrace-l.md) - [ACER](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/actor-critic-with-experience-replay.md) - [ACKTR](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/actor-critic-using-kronecker-factored-trust-region.md) - [TRPO](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/trust-region-policy-optimization.md) - [PPO](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/proximal-policy-optimization.md) - [UNREAL](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/unreal.md) - [IMPALA](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/impala.md) - [Distributional DQN](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/distributional-dqn.md) - [Noisy-Net](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/noisy-network.md) - [Rainbow](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/rainbow.md) - [ES](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/es.md) - [NS-ES](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/ns-es.md) - [Deep GA](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/deep-ga.md) - [Playing Atari with Six Neurons](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/playing-atari-with-six-neurons.md) - [UCTtoClassification](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/ucttoclassification.md) - [Policy Distillation](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/policy-distillation.md) - [Actor-Mimic](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/actor-mimic.md) - [Action-Conditional Video Prediction](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/action-conditional-video-predictionusing-deep-networks-in-atari-games.md) - [Self-Supervision](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/loss-is-its-own-reward-self-supervision-for-reinforcement-learning.md) - [HRA](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jie-ji-you-xi/hra.md) - [蒙特祖玛的复仇](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ment-te-zu-ma-de-fu-chou.md) - [Hierarchical-DQN](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ment-te-zu-ma-de-fu-chou/hierarchical-dqn.md) - [DQN-CTS](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ment-te-zu-ma-de-fu-chou/unifying-count-based-exploration-and-intrinsic-motivation.md) - [Pixel Recurrent Neural Networks](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ment-te-zu-ma-de-fu-chou/pixel-recurrent-neural-networks.md) - [DQN-PixelCNN](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ment-te-zu-ma-de-fu-chou/count-based-exploration-with-neural-density-models.md) - [Ape-X](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ment-te-zu-ma-de-fu-chou/ape-x.md) - [DQfD](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ment-te-zu-ma-de-fu-chou/dqfd.md) - [Ape-X DQfD](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ment-te-zu-ma-de-fu-chou/ape-x-dqfd.md) - [Natural Language Guided Reinforcement Learning](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ment-te-zu-ma-de-fu-chou/beating-atari-with-natural-language-guided-reinforcement-learning.md) - [竞速游戏](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jing-su-you-xi.md) - [Direct Perception](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jing-su-you-xi/deep-driving.md) - [DDPG](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jing-su-you-xi/ddpg.md) - [TD3](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/jing-su-you-xi/td3.md) - [第一人称射击游戏](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/di-yi-ren-cheng-she-ji-you-xi.md) - [SLAM-Augmented DQN](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/di-yi-ren-cheng-she-ji-you-xi/dqn-with-slam.md) - [Direct Future Prediction](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/di-yi-ren-cheng-she-ji-you-xi/direct-future-prediction.md) - [For The Win](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/di-yi-ren-cheng-she-ji-you-xi/for-the-win.md) - [开放世界游戏](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-shi-jie-you-xi.md) - [H-DRLN](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-shi-jie-you-xi/h-drln.md) - [Feedback Recurrent Memory Q-Network](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-shi-jie-you-xi/recurrent-memory-q-network.md) - [Teacher-Student Curriculum Learning](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-shi-jie-you-xi/teacher-student-curriculum-learning.md) - [即时战略游戏](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ji-shi-zhan-lve-you-xi.md) - [Puppet Search](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ji-shi-zhan-lve-you-xi/puppet-search.md) - [Combined Strategic and Tacticals](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ji-shi-zhan-lve-you-xi/combining-strategic-learning-and-tactical-search-in-real-time-strategy-games.md) - [Zero Order](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ji-shi-zhan-lve-you-xi/zero-order.md) - [IQL](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ji-shi-zhan-lve-you-xi/iql.md) - [COMA](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ji-shi-zhan-lve-you-xi/counterfactual-multi-agent-policy-gradients.md) - [BiC-Net](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ji-shi-zhan-lve-you-xi/bic-net.md) - [Macro-action SL](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ji-shi-zhan-lve-you-xi/macro-action-sl.md) - [Macro-action PPO](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ji-shi-zhan-lve-you-xi/tstarbots.md) - [On Reinforcement Learning for Full-length Game of StarCraft](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ji-shi-zhan-lve-you-xi/on-reinforcement-learning-for-full-length-game-of-starcraft.md) - [AlphaStar](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/ji-shi-zhan-lve-you-xi/alphastar.md) - [团队体育游戏](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/tuan-dui-ti-yu-you-xi.md) - [DDPG + Inverting Gradients](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/tuan-dui-ti-yu-you-xi/ddpg-+-inverting-gradients.md) - [DDPG + Mixing policy targets](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/tuan-dui-ti-yu-you-xi/ddpg-+-mixing-policy-targets.md) - [Object-centric prediction](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/tuan-dui-ti-yu-you-xi/object-centric-prediction.md) - [文字冒险游戏](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/wen-zi-mao-xian-you-xi.md) - [LSTM-DQN](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/wen-zi-mao-xian-you-xi/lstm-dqn.md) - [DRRN](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/wen-zi-mao-xian-you-xi/drrn.md) - [Affordance Based Action Selection](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/wen-zi-mao-xian-you-xi/affordance-based-action-selection.md) - [Golovin](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/wen-zi-mao-xian-you-xi/golovin.md) - [AE-DQN](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/wen-zi-mao-xian-you-xi/ae-dqn.md) - [开放的挑战](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan.md) - [游戏通用性](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/you-xi-tong-yong-xing.md) - [稀疏、延迟、欺骗性的回报](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/xi-shu-3001-yan-chi-3001-qi-pian-xing-de-hui-bao.md) - [多智能体](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/duo-zhi-neng-ti.md) - [终身适应](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/kuai-su-shi-ying.md) - [像人类一样玩游戏](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/xiang-ren-lei-yi-yang-wan-you-xi.md) - [可调节的性能等级](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/ke-diao-jie-de-xing-neng-deng-ji.md) - [处理巨大的状态空间](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/chu-li-ju-da-de-zhuang-tai-kong-jian.md) - [工业界应用](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/gong-ye-jie-ying-yong.md) - [游戏开发的交互式工具](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/jiao-hu-shi-you-xi-kai-fa.md) - [创造新的游戏](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/chuang-zao-xin-de-you-xi.md) - [学习游戏的模型](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/xue-xi-you-xi-de-mo-xing.md) - [计算资源](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/ji-suan-zi-yuan.md) - [Distributional RL](https://hujian.gitbook.io/deep-reinforcement-learning/fu-lu/distributional-rl.md) - [QR-DQN](https://hujian.gitbook.io/deep-reinforcement-learning/fu-lu/distributional-rl/qr-dqn.md) - [Policy Gradient](https://hujian.gitbook.io/deep-reinforcement-learning/fu-lu/policy-gradient.md) - [Off-Policy Actor-Critic](https://hujian.gitbook.io/deep-reinforcement-learning/fu-lu/policy-gradient/off-policy-actor-critic.md) - [Generalized Advantage Estimation](https://hujian.gitbook.io/deep-reinforcement-learning/fu-lu/policy-gradient/advantage-estimation.md) - [Soft Actor-Critic](https://hujian.gitbook.io/deep-reinforcement-learning/fu-lu/policy-gradient/soft-actor-critic.md) - [PPO-Penalty](https://hujian.gitbook.io/deep-reinforcement-learning/fu-lu/policy-gradient/ppo-penalty.md) - [Model-Based RL](https://hujian.gitbook.io/deep-reinforcement-learning/fu-lu/model-based-rl.md) - [I2A](https://hujian.gitbook.io/deep-reinforcement-learning/fu-lu/model-based-rl/i2a.md) - [MBMF](https://hujian.gitbook.io/deep-reinforcement-learning/fu-lu/model-based-rl/mbmf.md) - [MBVE](https://hujian.gitbook.io/deep-reinforcement-learning/fu-lu/model-based-rl/mbve.md) - [World Models](https://hujian.gitbook.io/deep-reinforcement-learning/fu-lu/model-based-rl/world-models.md) - [Imitation Learning and Inverse Reinforcement Learning](https://hujian.gitbook.io/deep-reinforcement-learning/fu-lu/imitation-learning-and-inverse-reinforcement-learning.md) - [GAIL](https://hujian.gitbook.io/deep-reinforcement-learning/fu-lu/imitation-learning-and-inverse-reinforcement-learning/gail.md) - [Transfer and Multitask RL](https://hujian.gitbook.io/deep-reinforcement-learning/fu-lu/transfer-and-multitask-rl.md) - [HER](https://hujian.gitbook.io/deep-reinforcement-learning/fu-lu/transfer-and-multitask-rl/her.md)