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ref-implementations.md

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Reference Implementations

|| awesome-rl | keras-rl | Practical_RL | rll/rllab | deep-rl-tensorflow | DeepRL-Agents | deep_q_rl | async-rl | FlappyBirdRL | DeepRLHacks | NervanaSystems/coach | noreward-rl | AlphaZero_Gomoku | modular_rl | DeepRL | rl-teacher | pytorch-rl | async-rl | osim-rl | DeepTerrainRL | awesome-deep-rl | deeplearning4j/rl4j | rl_a3c_pytorch | Meta-RL | rlpy/rlpy | DeepRL-InformationExtraction | oreilly-rl-tutorial | rltorch | rl4nlp | deep-rl | pysc2-agents | DeepRL-Grounding | rlntm | tensorflow-rl | maml_rl | rl-portfolio-management | deep-learning-nlp-rl-papers | ipython-notebooks | RLLib | PyTorch-ActorCriticRL | rlenvs | neural-combinatorial-rl-tensorflow | Multitask-and-Transfer-Learning | drl | deepRL | python-rl | neural-combinatorial-rl-pytorch | rl-course-experiments | NeoRL | irl-imitation | reinforcement_learning | roboticslibrary/rl | RL-Chatbot | rl_algorithms | cilvrRG/RL | pytorch.rl.learning | DeepRL | rlb-dp | relaax | SimpleRL | pytorch-rl | RL_toolbox ||

|| deep-reinforcement-learning-papers | deep-reinforcement-learning-papers | stock_market_reinforcement_learning | Deep-Reinforcement-Learning-Survey | AppliedDataSciencePartners/DeepReinforcementLearning | 5vision/deep-reinforcement-learning-networks | dusty-nv/jetson-reinforcement | DeepReinforcementLearningThatMatters | Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow | np-hard-deep-reinforcement-learning | Deep_Reinforcement_Learning | Asynchronous-Methods-for-Deep-Reinforcement-Learning | Deep-Reinforcement-Learning-in-Stock-Trading | snake-ai-reinforcement | reinforcement-learning-notes | awesome-deep-reinforcement-learning | DeepReinforcementLearning | Deep-Reinforcement-Learning-Architectures | Deep-Reinforcement-Learning-Tutorials | DeepReinforcementLearning | ReinforcementLearning-AtariGame | Project-Deep-Reinforcement-Learning-With-Policy-Gradient ||

|| reinforcement-learning | reinforcement-learning-an-introduction | reinforcement-learning | Reinforcement-learning-with-tensorflow | basic_reinforcement_learning | reinforcement-learning-car | dissecting-reinforcement-learning | Study-Reinforcement-Learning | Inverse-Reinforcement-Learning | applied-reinforcement-learning | reinforcement_learning | Mononofu/reinforcement-learning | Human_Level_Control_through_drl | ReinforcementLearning | google/simple-reinforcement-learning | yao62995/Deep_Reinforcement_Learning | wagonhelm/Reinforcement-Learning-Introduction | lvlvlvlvlv/A-introduction-to-reinforcement-learning | reinforcement-2048 | alokwhitewolf/Reinforcement-Learning | reinforcement_learning_with_Tensorflow | Practical-Reinforcement-Learning | reinforcement_learning_playground | programmable-reinforcement-learning | Reinforcement_Learning_AI_Video_Games ||

|| Deep_reinforcement_learning_Course | RL-Adventure | RL-Adventure-2 | Pulkit-Khandelwal/Reinforcement-Learning-Notebooks | udacity/deep-reinforcement-learning | David-Silver-Reinforcement-learning | Hands-On-Reinforcement-Learning-With-Python | NervanaSystems/coach | DeepMind-Atari-Deep-Q-Learner | Deep-reinforcement-learning-with-pytorch | Deep-Reinforcement-Learning-Algorithms-with-PyTorch | rl_algorithms ||