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BtgymScalable, event-driven, deep-learning-friendly backtesting library
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BabyaiBabyAI platform. A testbed for training agents to understand and execute language commands.
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Drqn TensorflowDeep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
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Gym PandaAn OpenAI Gym Env for Panda
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Gym AnytradingThe most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
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Gym Electric MotorGym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors
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Noreward Rl[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
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Mushroom RlPython library for Reinforcement Learning.
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RavensTrain robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
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Async DeeprlPlaying Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning
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GymfcA universal flight control tuning framework
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Rl Baselines ZooA collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
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Gym IgnitionFramework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo
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CoachReinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
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Rl BookSource codes for the book "Reinforcement Learning: Theory and Python Implementation"
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Nes PyA Python3 NES emulator and OpenAI Gym interface
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Dmc2gymOpenAI Gym wrapper for the DeepMind Control Suite
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Holdem🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning
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PyribsA bare-bones Python library for quality diversity optimization.
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Ns3 Gymns3-gym - The Playground for Reinforcement Learning in Networking Research
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Gym MinigridMinimalistic gridworld package for OpenAI Gym
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yarllCombining deep learning and reinforcement learning.
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Gym GridworldSimple grid-world environment compatible with OpenAI-gym
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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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Gym DartOpenAI Gym environments using DART
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Stable BaselinesMirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
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Basic reinforcement learningAn introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
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RLGCAn open-source platform for applying Reinforcement Learning for Grid Control (RLGC)
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Rex GymOpenAI Gym environments for an open-source quadruped robot (SpotMicro)
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CartpoleOpenAI's cartpole env solver.
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Tensorflow RlImplementations of deep RL papers and random experimentation
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Pybullet GymOpen-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
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OpenaigymSolving OpenAI Gym problems.
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Gym StarcraftStarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)
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Ma GymA collection of multi agent environments based on OpenAI gym.
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Rl a3c pytorchA3C LSTM Atari with Pytorch plus A3G design
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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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Gym FxForex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress
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A3c continuousA continuous action space version of A3C LSTM in pytorch plus A3G design
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Finrl LibraryFinRL: Financial Reinforcement Learning Framework. Please star. 🔥
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