pytorchrlDeep Reinforcement Learning algorithms implemented in PyTorch
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ElegantRLScalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
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model-free-algorithmsTD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
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Deep-Reinforcement-Learning-CS285-PytorchSolutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
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Irl genThis is implementation of the paper 'Toward Diverse Text Generation with Inverse Reinforcement Learning' https://arxiv.org/abs/1804.11258 IJCAI2018
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alpha sigmaA pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.
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Deep-Reinforcement-Learning-With-PythonMaster classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
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Pontryagin-Differentiable-ProgrammingA unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
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Mutual labels: inverse-reinforcement-learning
MolDQN-pytorchA PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
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inv rlInverse Reinforcement Learning Argorithms
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Deep Reinforcement LearningRepo for the Deep Reinforcement Learning Nanodegree program
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Multi-agent-reinforcement-learningImplementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
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