200 Open source projects that are alternatives of or similar to ddpg_biped

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

Live Trading. Please star.

Pytorch Implementation of RL algorithms

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Learning Continuous Control in Deep Reinforcement Learning

Python library for Reinforcement Learning.

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Packages for the simulation of the Summit XL, Summit XL HL and Summit-X (including X-WAM) robots

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

Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!

Repo for the Deep Reinforcement Learning Nanodegree program

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

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Solving OpenAI Gym problems.

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

Minimal implementations of reinforcement learning algorithms by Tensorflow

An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)

Image based obstacle avoidance using optical flow

Combining deep learning and reinforcement learning.

Training a Neural Network to play Pong from pixels

🌐 A ROS WEB console to control remotely your robot. Based with robotwebtools.

A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources

A collection of multi agent environments based on OpenAI gym.

Super Mario Reinforcement Learning from Demonstration

ns3-gym - The Playground for Reinforcement Learning in Networking Research

Ape-X DQN & DDPG with pytorch & tensorboard

Autonomous Obstacle Avoidance Robot ROS + GAZEBO

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

OpenAI Gym Hearts Card Game

A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)

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

LeoBot telepresence robot

A simple, continuous-control environment for OpenAI Gym

Reinforcement Learning for Super Mario Bros using A3C on GPU

Implementations of deep RL papers and random experimentation

Using PyTorch and DDPG to play Torcs

Repository containing Robot Servers ROS packages

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

A ROS wrapper for ORB-SLAM2

A universal flight control tuning framework

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

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 in JavaScript & Node.js

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

Create 3D labelled bounding boxes in RViz

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

No description or website provided.

Code for NIPS 2017 learning to run challenge

🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

OpenAI's Gym written in pure Rust for blazingly fast performance

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro

A platform to test reinforcement learning policies in the datacenter setting.

Differential Dynamic Programming controller operating in OpenAI Gym environment.

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

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