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, pricing 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.

Robot arm control using reinforcement learning algorithms : DDPG and TD3 with hindsight experience replay (HER)

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.

Implementation of the DDPG algorithm for Optimal Finance Trading

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

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

La combinación más inteligente de Deep Q-Learning, Políticas de Gradiente, Actor-Crítico y DDPG utilizando PyTorch

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

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.

Implimenting DDPG Algorithm in Tensorflow-2.0

This repository implements the use of AI for robot tasks.

Apply Reinforcement Learning (RL) to enable prosthetics to calibrate with differences between humans and differences between walking environments