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DeeprlModularized Implementation of Deep RL Algorithms in PyTorch
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Slm LabModular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
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Lagomlagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
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Deep Reinforcement Learning Algorithms31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
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Deep Rl KerasKeras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
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Mushroom RlPython library for Reinforcement Learning.
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TF2-RLReinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
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RlcycleA library for ready-made reinforcement learning agents and reusable components for neat prototyping
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Pytorch RlDeep Reinforcement Learning with pytorch & visdom
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Pytorch A2c Ppo Acktr GailPyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
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ExplorerExplorer is a PyTorch reinforcement learning framework for exploring new ideas.
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Openai labAn experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
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RadRAD: Reinforcement Learning with Augmented Data
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Rl4jDeep Reinforcement Learning for the JVM (Deep-Q, A3C)
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Ml In TfGet started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
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Reinforcement learning tutorial with demoReinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
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OpenaigymSolving OpenAI Gym problems.
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TorchrlHighly Modular and Scalable Reinforcement Learning
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Deeprl TutorialsContains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
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