Autonomous Navigation of UAV using Reinforcement Learning algorithms.
-
Updated
Feb 17, 2020 - Python
Autonomous Navigation of UAV using Reinforcement Learning algorithms.
Code for paper "基于多智能体深度强化学习的车联网通信资源分配优化"
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…
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.
Reinforcement learning library for PyTorch.
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.
An open-source hardware racing drone design and demonstration RL software for the artificial intelligence robotic drone race competitions
Implimenting DDPG Algorithm in Tensorflow-2.0
This repository implements the use of AI for robot tasks.
In this repo, I implement deep deterministic policy gradients and multi-agent deep deterministic poilicy gradients to solve the Tennis enironment (Unity ML-Agents)
Tensorflow implementation of the DDPG algorithm
This is how you teach a dumb bot to walk on two feet.
Solve reacher (unity ml-agents) using deep deterministic policy gradients (DDPG)
Learning to paint using Model-based Deep Reinforcement Learning
Exploring different buffer sampling techniques to improve Hindisght Experience Replay on continuous control robotic application tasks. Continous action spaces & sparse rewards.
TensorFlow Implementation of Deep Deterministic Policy Gradients for Continuous OpenAI Gym Environments
Add a description, image, and links to the ddpg-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the ddpg-algorithm topic, visit your repo's landing page and select "manage topics."