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"

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

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, # models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC…

Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.

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.

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.

The project presents a drone obstacle avoidance system using Microsoft AirSim and the DDPG algorithm, training drones with LIDAR and depth sensors for improved real-time navigation. It compares the implementation of DDPG algorithm with different sensors and their combination.

An open-source hardware racing drone design and demonstration RL software for the artificial intelligence robotic drone race competitions

Reinforcement learning library for PyTorch.

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