Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
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yarllCombining deep learning and reinforcement learning.
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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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BtgymScalable, event-driven, deep-learning-friendly backtesting library
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Mushroom RlPython library for Reinforcement Learning.
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Lagomlagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
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ddrlDeep Developmental Reinforcement Learning
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deep rl acrobotTensorFlow A2C to solve Acrobot, with synchronized parallel environments
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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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ExplorerExplorer is a PyTorch reinforcement learning framework for exploring new ideas.
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Rl BookSource codes for the book "Reinforcement Learning: Theory and Python Implementation"
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Rl a3c pytorchA3C LSTM Atari with Pytorch plus A3G design
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Tensorflow ReinforceImplementations of Reinforcement Learning Models in Tensorflow
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Pytorch-RL-CPPA Repository with C++ implementations of Reinforcement Learning Algorithms (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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Parl SampleDeep reinforcement learning using baidu PARL(maze,flappy bird and so on)
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Pytorch sac aePyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
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Deterministic Gail PytorchPyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
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imitation learningPyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
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Ppo PytorchMinimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
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Openai labAn experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
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Reinforcementlearning AtarigamePytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
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Finrl LibraryFinRL: Financial Reinforcement Learning Framework. Please star. 🔥
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DeerDEEp Reinforcement learning framework
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Rl Portfolio ManagementAttempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)
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Pytorch TrpoPyTorch implementation of Trust Region Policy Optimization
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drl graspingDeep Reinforcement Learning for Robotic Grasping from Octrees
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LWDRLCLightweight deep RL Libraray for continuous control.
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RlcardReinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
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Pytorch RlPyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
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Noreward Rl[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
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Async DeeprlPlaying Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning
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Pytorch sacPyTorch implementation of Soft Actor-Critic (SAC)
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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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neural-mpcNo description or website provided.
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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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TorchrlHighly Modular and Scalable Reinforcement Learning
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Policy GradientMinimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
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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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FinRL PodracerCloud-native Financial Reinforcement Learning
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omdJAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
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SharkStockAutomate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …
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jax-rlJAX implementations of core Deep RL algorithms
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Fruit-APIA Universal Deep Reinforcement Learning Framework
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DrqDrQ: Data regularized Q
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Pytorch DdpgImplementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
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