763 Open source projects that are alternatives of or similar to ddrl

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

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A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Python library for Reinforcement Learning.

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Reinforcement Learning for Super Mario Bros using A3C on GPU

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

Repo for the Deep Reinforcement Learning Nanodegree program

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)

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Combining deep learning and reinforcement learning.

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

Deep Reinforcement Learning Algorithms Implementation in PyTorch

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lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

DrQ: Data regularized Q

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Pytorch 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

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

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).

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Live Trading. Please star.

PyTorch implementation of Soft Actor-Critic (SAC)

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

JAX implementations of core Deep RL algorithms

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Cloud-native Financial Reinforcement Learning

Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym

PyTorch implementation of Trust Region Policy Optimization

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

Deep Reinforcement Learning for Robotic Grasping from Octrees

A3C LSTM Atari with Pytorch plus A3G design

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

Scalable, event-driven, deep-learning-friendly backtesting library

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)

Run OpenAI Gym on a Server

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.

Hierarchical-DQN in pytorch (not actively maintained)

Curso de Aprendizaje por Refuerzo, de 0 a 100 con notebooks y slides muy sencillas para entenderlo todo perfectamente.

Tensorflow implementation of A3C algorithm

Machine- and Reinforcement Learning ExtensioN for (game) Engines

Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)

OpenAI Gym wrapper for ViZDoom enviroments

Superpixel-based Refinement for Object Proposal Generation (ICPR 2020)

This is a ZSH plugin that enables you to use OpenAI's Codex AI in the command line.

Benchmarks for scientific machine learning (SciML) software and differential equation solvers

Caffe: a Fast framework for deep learning. Custom version with built-in sparse inputs, segmentation, object detection, class weights, and custom layers