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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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Mushroom RlPython library for Reinforcement Learning.
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Pytorch sacPyTorch implementation of Soft Actor-Critic (SAC)
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Rl algosReinforcement Learning Algorithms
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RlcardReinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
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Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
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Dissecting Reinforcement LearningPython code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
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Baby A3cA high-performance Atari A3C agent in 180 lines of PyTorch
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Tensorflow ReinforceImplementations of Reinforcement Learning Models in Tensorflow
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DrqDrQ: Data regularized Q
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Async DeeprlPlaying Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning
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MinimalrlImplementations of basic RL algorithms with minimal lines of codes! (pytorch based)
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Openai labAn experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
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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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yarllCombining deep learning and reinforcement learning.
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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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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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Slm LabModular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
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Tensorflow RlImplementations of deep RL papers and random experimentation
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Rl BookSource codes for the book "Reinforcement Learning: Theory and Python Implementation"
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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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dqn-lambdaNeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.
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ddrlDeep Developmental Reinforcement Learning
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rlflowA TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms
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Deep-Q-NetworksImplementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym
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FinRLFinRL: The first open-source project for financial reinforcement learning. Please star. 🔥
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a3cPyTorch implementation of "Asynchronous advantage actor-critic"
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Pysc2 AgentsThis is a simple implementation of DeepMind's PySC2 RL agents.
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Gym Gazebo2gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
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RadRAD: Reinforcement Learning with Augmented Data
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pysc2-rl-agentsStarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
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Gym DuckietownSelf-driving car simulator for the Duckietown universe
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