Deep-Reinforcement-Learning-NotebooksThis Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.
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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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Deep-rl-mxnetMxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO
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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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UAV-DDPGCode for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
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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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Ros2learnROS 2 enabled Machine Learning algorithms
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MinimalrlImplementations of basic RL algorithms with minimal lines of codes! (pytorch based)
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Deeprl algorithmsDeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
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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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RlgraphRLgraph: Modular computation graphs for deep reinforcement learning
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Reinforcement LearningDeep Reinforcement Learning Algorithms implemented with Tensorflow 2.3
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Rainy☔ Deep RL agents with PyTorch☔
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ExplorerExplorer is a PyTorch reinforcement learning framework for exploring new ideas.
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ElegantrlLightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.
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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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TorchrlPytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
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Pytorch DrlPyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
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TianshouAn elegant PyTorch deep reinforcement learning library.
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DeeprlModularized Implementation of Deep RL Algorithms in PyTorch
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ElegantRLScalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
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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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Deeprl Tensorflow2🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
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Deep Reinforcement Learning With PytorchPyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
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Reinforcement LearningLearn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
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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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king-pongDeep Reinforcement Learning Pong Agent, King Pong, he's the best
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pytorch-rlPytorch Implementation of RL algorithms
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ml-aiML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions
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DQN-AtariDeep Q-Learning (DQN) implementation for Atari pong.
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dqn-tensorflowDeep Q Network implements by Tensorflow
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Pytorch-RL-CPPA Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)
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distributedRLA framework for easy prototyping of distributed reinforcement learning algorithms
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td-regTD-Regularized Actor-Critic Methods
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banditsComparison of bandit algorithms from the Reinforcement Learning bible.
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logrlLogarithmic Reinforcement Learning
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Paddle-RLBooksPaddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
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RL-code-resourcesA collection of Reinforcement Learning GitHub code resources divided by frameworks and environments
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imitation learningPyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
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DQN-pytorchA PyTorch implementation of Human-Level Control through Deep Reinforcement Learning
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trading gyma unified environment for supervised learning and reinforcement learning in the context of quantitative trading
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LWDRLCLightweight deep RL Libraray for continuous control.
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Upside-Down-Reinforcement-LearningUpside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
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l2rpn-baselinesL2RPN Baselines a repository to host baselines for l2rpn competitions.
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Master-ThesisDeep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex
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