# 方法

- [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)


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