xtma

xtma's Stars

• Kostis-S-Z/trading-rl

  Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019

  Language:Python21845

• montrealrobotics/domain-randomizer

  A standalone library to randomize various OpenAI Gym Environments

  Language:Python6011

• AminHP/gym-anytrading

  The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

  Language:Python2.2k477

• thu-ml/tianshou

  An elegant PyTorch deep reinforcement learning library.

  Language:Python8.1k1.1k

• simonjisu/pytorch_tutorials

  some tutorials for blog: simonjisu.github.io

  Language:Jupyter Notebook234

• xtma/dsac

  Distributional Soft Actor Critic

  Language:Python5010

• sfujim/TD3

  Author's PyTorch implementation of TD3 for OpenAI gym tasks

  Language:Python1.8k440

• astooke/rlpyt

  Reinforcement Learning in PyTorch

  Language:Python2.2k326

• Farama-Foundation/HighwayEnv

  A minimalist environment for decision-making in autonomous driving

  Language:Python2.7k770

• rmst/rtrl

  PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)

  Language:Python7315

• rail-berkeley/rlkit

  Collection of reinforcement learning algorithms

  Language:Python2.5k555

• sweetice/Deep-reinforcement-learning-with-pytorch

  PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

  Language:Python4k859

• ZhengyaoJiang/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).

  Language:Python1.8k754

• notadamking/RLTrader

  A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

  Language:Python1.7k540

• MRYingLEE/Portfolio_GYM

  This is an OPENAI gym reinforcement learning environment for investing. There are portfolio performance and risk metrics functions built in. These functions can be used to evaluate your algorithm and also in reward engineering.

  Language:Python31

• wassname/rl-portfolio-management

  Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

  Language:Jupyter Notebook552180

• mingzhangPHD/Transfer-Learning-for-Fault-Diagnosis

  This repository is for the transfer learning or domain adaptive with fault diagnosis.

  Language:Python23746

• mingzhangPHD/RL-trip-pytorch

  This repository is a reinforcement learning trip for all gym environments, mainly including Classic control, Box2D and Mujoco. I try to find the good result in all examples. The algorithm is implemented by pytorch.

  Language:Python31

• gbeced/pyalgotrade

  Python Algorithmic Trading Library

  Language:Python4.5k1.4k

• Yam-cn/pyalgotrade-cn

  pyalgotrade tailored for Chinese stock market

  Language:Python906554

• thedimlebowski/Trading-Gym

  Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

  Language:Python550160

• hackthemarket/gym-trading

  Environment for reinforcement-learning algorithmic trading models

  Language:Jupyter Notebook705213

• ikostrikov/pytorch-trpo

  PyTorch implementation of Trust Region Policy Optimization

  Language:Python43591

• xtma/vimrc

  The ultimate Vim configuration: vimrc

  Language:Vim script1

• xtma/pytorch-a2c-ppo-acktr-gail

  PyTorch 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).

  Language:Python1

• xtma/ray-maddpg

  MADDPG implementation with Ray

  Language:Python1

• Yvictor/TradingGym

  Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

  Language:Python1.6k354

• vdumoulin/conv_arithmetic

  A technical report on convolution arithmetic in the context of deep learning

  Language:TeX14.1k2.3k

• openai/random-network-distillation

  Code for the paper "Exploration by Random Network Distillation"

  Language:Python885161

• openai/large-scale-curiosity

  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"

  Language:Python805180