There are 4 repositories under ddpg-algorithm topic.
Autonomous Navigation of UAV using Reinforcement Learning algorithms.
Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI
Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.
Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC) at arrival). This is an open source OpenAI Gym environment for the implementation of Reinforcement Learning (RL), Rule-based approaches (RB) and Intelligent Control (IC).
Implementation of the DDPG algorithm for Optimal Finance Trading
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.
Train a reinforcement learning agent to play a variation of Pong®
Simulation based Soft Continuum Robot Control via Reinforcement Learning
PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method
Robot arm control using reinforcement learning algorithms : DDPG and TD3 with hindsight experience replay (HER)
Designing a control system to exploit model-free deep reinforcement learning algorithms to solve a real-world autonomous driving task of a small robot.
Learning Continuous Control in Deep Reinforcement Learning
The objective is to teach robot to find and reach the target object in the minimum number of steps and using the shortest path and avoiding any obstacles such as humans, walls, etc usinf reinforcement learning algorithms.
Implimenting DDPG Algorithm in Tensorflow-2.0
This repository implements the use of AI for robot tasks.
An open-source hardware racing drone design and demonstration RL software for the artificial intelligence robotic drone race competitions
DDPG and D4PG Continuous Control
Tensorflow implementation of the DDPG algorithm
In this repo, I implement deep deterministic policy gradients and multi-agent deep deterministic poilicy gradients to solve the Tennis enironment (Unity ML-Agents)
Teaching a quadcopter to fly using Reinforcement Learning (DDPG algorithm) in Pytorch
This is how you teach a dumb bot to walk on two feet.
Solve reacher (unity ml-agents) using deep deterministic policy gradients (DDPG)
Supply Chain Reinforcement Learning
RL Algorithms with examples in Python / Pytorch / Unity ML agents
Use reinforcement learning to teach a quadcopter how to fly
Learning to play tennis from scratch with AlphaGo Zero style self-play using DDPG
Apply Reinforcement Learning (RL) to enable prosthetics to calibrate with differences between humans and differences between walking environments
Learning to paint using Model-based Deep Reinforcement Learning
Deep Deterministic Policy Gradient
Twin Delayed Deep Deterministic Policy Gradient Algorithm On PybulletAnt agent.
This repository contains popular deep reinforcement learning implemented with TensorFlow.
Exploring different buffer sampling techniques to improve Hindisght Experience Replay on continuous control robotic application tasks. Continous action spaces & sparse rewards.