379 Open source projects that are alternatives of or similar to deeprl-continuous-control

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

Noisy Networks for Exploration

Minimal implementations of reinforcement learning algorithms by Tensorflow

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

A curated list of awesome Deep Reinforcement Learning resources.

This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsobh.github.io/Practical-DRL/

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Code for NIPS 2017 learning to run challenge

The 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.

An OpenAI gym wrapper for CARLA simulator

SeqGAN but with more bells and whistles

Repository for codes of 'Deep Reinforcement Learning'

Reinforcement Learning for Super Mario Bros using A3C on GPU

An easy-to-use reinforcement learning library for research and education.

3D RL Volleyball environment built on Unity ML-Agents

Basic versions of agents from Spinning Up in Deep RL written in PyTorch

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library

Goal-Oriented Chatbot trained with Deep Reinforcement Learning

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

JAX implementations of core Deep RL algorithms

AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）

A high-performance Atari A3C agent in 180 lines of PyTorch

An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

A curated list of resources about Machine Learning for Robotics

Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.

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

Using PyTorch and DDPG to play Torcs

Code for "Gradient Surgery for Multi-Task Learning"

深度学习论文阅读路线图

Reinforcement learning algorithms

An offline deep reinforcement learning library

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

Modeling agents with probabilistic programs

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

Attention-guided CNN for image denoising(Neural Networks,2020)

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

A toolbox with the goal of speeding up research on bargaining in MARL (cooperation problems in MARL).

Unity Machine Learning Agents Toolkit

(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning

Reinforcement learning with tensorflow 2 keras

Pytorch Implementation of MuZero

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

PyTorch Implementation of Trust Region Policy Optimization (TRPO)

Minimal and Clean Reinforcement Learning Examples

Teach a Quadcopter How to Fly!

Deep Reinforcement Learning (DRL) agents applied to medical images

Mario AI Ensemble

Revisiting Rainbow