ddpg-algorithm
There are 99 repositories under ddpg-algorithm topic.
fangvv/VN-MADDPG
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"
navuboy/rl_ardrone
Autonomous Navigation of UAV using Reinforcement Learning algorithms.
jangirrishabh/Overcoming-exploration-from-demos
Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI
georkara/Chargym-Charging-Station
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).
navuboy/ddpg_biped
Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.
kaymen99/Robot-arm-control-with-RL
Robot arm control using reinforcement learning algorithms : DDPG and TD3 with hindsight experience replay (HER)
Rahul-Choudhary-3614/Deep-Reinforcement-Learning-Notebooks
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.
AkshayS21/Reinforcement-Learning-for-Optimal-Financial-Trading
Implementation of the DDPG algorithm for Optimal Finance Trading
matlab-deep-learning/playing-Pong-with-deep-reinforcement-learning
Train a reinforcement learning agent to play a variation of Pong®
turhancan97/RL-based-Control-of-a-Soft-Continuum-Robot
Simulation based Soft Continuum Robot Control via Reinforcement Learning
BY571/Normalized-Advantage-Function-NAF-
PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method
PieroMacaluso/Deep-RL-Autonomous-Systems
Designing a control system to exploit model-free deep reinforcement learning algorithms to solve a real-world autonomous driving task of a small robot.
kinwo/deeprl-continuous-control
Learning Continuous Control in Deep Reinforcement Learning
joanby/drl2.0
La combinación más inteligente de Deep Q-Learning, Políticas de Gradiente, Actor-Crítico y DDPG utilizando PyTorch
akshayratnawat/ReachingTargetLocation_ReinforcementLearning_Webots
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.
jimimvp/torch_rl
Reinforcement learning library for PyTorch.
vguillet/AIgle_Racer
An open-source hardware racing drone design and demonstration RL software for the artificial intelligence robotic drone race competitions
Dekki-Aero/DDPG
Implimenting DDPG Algorithm in Tensorflow-2.0
KanishkNavale/AI-for-Robot-Tasks
This repository implements the use of AI for robot tasks.
montaserFath/Reinforcement-Learning-for-Prosthetics
Apply Reinforcement Learning (RL) to enable prosthetics to calibrate with differences between humans and differences between walking environments
bmaxdk/DeepRL-ND-Continuous-Control
DDPG and D4PG Continuous Control
shayantaherian/Vehicle-Stabilisation-Using-Reinforcement-Learning
Deep Deterministic Policy Gradient
1jsingh/RL_quadcopter
Teaching a quadcopter to fly using Reinforcement Learning (DDPG algorithm) in Pytorch
dtiarks/ddpg_agent
Tensorflow implementation of the DDPG algorithm
katnoria/unityml-tennis
In this repo, I implement deep deterministic policy gradients and multi-agent deep deterministic poilicy gradients to solve the Tennis enironment (Unity ML-Agents)
7enTropy7/BipedalWalker
This is how you teach a dumb bot to walk on two feet.
katnoria/ddpg-reacher
Solve reacher (unity ml-agents) using deep deterministic policy gradients (DDPG)
kishorkukreja/SupplyChainReinforcement
Supply Chain Reinforcement Learning
nishantpandey4/Drone-navigation-and-obstacle-avoidance-using-DDPG
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.
rwachters/Reinforcement_Learning
RL Algorithms with examples in Python / Pytorch / Unity ML agents
craig-martinson/quadcopter-project
Use reinforcement learning to teach a quadcopter how to fly
kinwo/deeprl-tennis-competition
Learning to play tennis from scratch with AlphaGo Zero style self-play using DDPG
sarthak268/learning-to-paint-using-modelbased-drl
Learning to paint using Model-based Deep Reinforcement Learning
hischen/reinforcement-learning
Reinforcement learning algorithm implements.
omkarchittar/manipulator_control_DDPG
Controlling a 7 DOF manipulator from the panda gym reacher environment using DDPG