6337 Open source projects that are alternatives of or similar to Deep Reinforcement Learning For Automated Stock Trading Ensemble Strategy Icaif 2020

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An elegant PyTorch deep reinforcement learning library.

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Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

🤖 Implements of Reinforcement Learning algorithms.

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Cloud-native Financial Reinforcement Learning

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a unified environment for supervised learning and reinforcement learning in the context of quantitative trading

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No description or website provided.

Simple Reinforcement Learning Framework

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PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

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Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

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Deep Reinforcement Learning Algorithms Implementation in PyTorch

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

juliareinforcementlearning.org/

TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x

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FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

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This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

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Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

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Reinforcement 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..

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)