Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
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Mushroom RlPython library for Reinforcement Learning.
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Reinforcement Learning AlgorithmsThis repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
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TianshouAn elegant PyTorch deep reinforcement learning library.
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ElegantrlLightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.
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Ros2learnROS 2 enabled Machine Learning algorithms
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Easy Rl强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
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Lagomlagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
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MinimalrlImplementations of basic RL algorithms with minimal lines of codes! (pytorch based)
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Machine Learning Is All You Need🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
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MachinReinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
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Rl algorithmsStructural implementation of RL key algorithms
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ExplorerExplorer is a PyTorch reinforcement learning framework for exploring new ideas.
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Rainy☔ Deep RL agents with PyTorch☔
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Aigamesuse AI to play some games.
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DeeprlModularized Implementation of Deep RL Algorithms in PyTorch
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OpenaigymSolving OpenAI Gym problems.
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ElegantRLScalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
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DrqDrQ: Data regularized Q
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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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Pytorch RlDeep Reinforcement Learning with pytorch & visdom
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RlcycleA library for ready-made reinforcement learning agents and reusable components for neat prototyping
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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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Pytorch sacPyTorch implementation of Soft Actor-Critic (SAC)
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Pytorch ReinforcePyTorch Implementation of REINFORCE for both discrete & continuous control
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AtariAI research environment for the Atari 2600 games 🤖.
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Tensorflow RlImplementations of deep RL papers and random experimentation
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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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RlgraphRLgraph: Modular computation graphs for deep reinforcement learning
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Reinforcement LearningLearn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
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Pytorch TrpoPyTorch implementation of Trust Region Policy Optimization
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Ai BlogAccompanying repository for Let's make a DQN / A3C series.
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CleanrlHigh-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features
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GenrlA PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
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TrpoTrust Region Policy Optimization with TensorFlow and OpenAI Gym
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Pytorch Cpp RlPyTorch C++ Reinforcement Learning
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Sc2aibotImplementing reinforcement-learning algorithms for pysc2 -environment
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Rl4jDeep Reinforcement Learning for the JVM (Deep-Q, A3C)
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Stable Baselines3PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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Robotics Rl SrlS-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
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Rl BookSource codes for the book "Reinforcement Learning: Theory and Python Implementation"
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