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a3c_continuous

A continuous action space version of A3C LSTM in pytorch plus A3G design

awesome-courses

:books: List of awesome university courses for learning Computer Science!

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

handwrittendigit-recognition

Hand written digit recognition with SVM, Decision Tree and Random Forests

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

keras-rl

Deep Reinforcement Learning for Keras.

pgportfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

planet

Deep Planning Network: Control from pixels by latent planning with learned dynamics

py-umls

Basic Python 3 tools to interact with UMLS lexica

pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

pytorch-ddpg

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

rl_trading

An environment to high-frequency trading agents under reinforcement learning

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