Deterministic Gail PytorchPyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
Stars: ✭ 44 (+120%)
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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Noreward Rl[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
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Pytorch DdpgImplementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
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Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
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Deeprl TutorialsContains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
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BtgymScalable, event-driven, deep-learning-friendly backtesting library
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Deep-Quality-Value-FamilyOfficial implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop
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distributed rlPytorch implementation of distributed deep reinforcement learning
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reinforce-js[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.
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Deep Trading AgentDeep Reinforcement Learning based Trading Agent for Bitcoin
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Pysc2 ExamplesStarCraft II - pysc2 Deep Reinforcement Learning Examples
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Deep Q LearningMinimal Deep Q Learning (DQN & DDQN) implementations in Keras
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Rl BookSource codes for the book "Reinforcement Learning: Theory and Python Implementation"
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Finrl LibraryFinRL: Financial Reinforcement Learning Framework. Please star. 🔥
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Accel Brain CodeThe purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
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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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Deep-Reinforcement-Learning-CS285-PytorchSolutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
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FinRL PodracerCloud-native Financial Reinforcement Learning
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FinRLFinRL: The first open-source project for financial reinforcement learning. Please star. 🔥
Stars: ✭ 3,497 (+17385%)
rlflowA TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms
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RadRAD: Reinforcement Learning with Augmented Data
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CurlCURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
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Pytorch DqnDeep Q-Learning Network in pytorch (not actively maintained)
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Mushroom RlPython library for Reinforcement Learning.
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rl pytorchDeep Reinforcement Learning Algorithms Implementation in PyTorch
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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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CartPoleRun OpenAI Gym on a Server
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RlcardReinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
Stars: ✭ 980 (+4800%)
Async DeeprlPlaying Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning
Stars: ✭ 44 (+120%)
ddrlDeep Developmental Reinforcement Learning
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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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yarllCombining deep learning and reinforcement learning.
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good robot"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer
Stars: ✭ 84 (+320%)
drl graspingDeep Reinforcement Learning for Robotic Grasping from Octrees
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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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king-pongDeep Reinforcement Learning Pong Agent, King Pong, he's the best
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deep rl acrobotTensorFlow A2C to solve Acrobot, with synchronized parallel environments
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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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