ddpg-algorithm

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…

reinforcement-learning electric-vehicles ddpg-algorithm charging-station openai-gym-environment charging-stations reinforcement-learning-environments intelligent-control ppo-algo rule-based-controller

Updated Feb 14, 2023
Python

AkshayS21 / Reinforcement-Learning-for-Optimal-Financial-Trading

Star

Implementation of the DDPG algorithm for Optimal Finance Trading

finance actor-critic almgren-chriss capm ddpg-algorithm ddpg-agent

Updated Sep 15, 2019
Jupyter Notebook

Rahul-Choudhary-3614 / Deep-Reinforcement-Learning-Notebooks

Star

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.

deep-reinforcement-learning rainbow doom dqn sarsa a3c ddqn ddpg-algorithm ppo a2c prioritized-experience-replay cartpole-v0 noisy-networks soft-actor-critic half-cheetah kungfumaster-v0 ant-v2 reinforce-algorithm

Updated Apr 24, 2021
Jupyter Notebook

matlab-deep-learning / playing-Pong-with-deep-reinforcement-learning

Star

Train a reinforcement learning agent to play a variation of Pong®

reinforcement-learning deep-learning matlab pong-game ddpg-algorithm matlab-deep-learning

Updated Mar 1, 2021
MATLAB

turhancan97 / RL-based-Control-of-a-Soft-Continuum-Robot

Star

Simulation based Soft Continuum Robot Control via Reinforcement Learning

reinforcement-learning robotics keras deep-reinforcement-learning pytorch ddpg keras-tensorflow ddpg-algorithm ddpg-pytorch ddpg-keras

Updated Apr 8, 2024
TeX

BY571 / Normalized-Advantage-Function-NAF-

Star

PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method

reinforcement-learning q-learning dqn reinforcement-learning-algorithms continuous-control naf ddpg-algorithm prioritized-experience-replay normalized-advantage-functions q-learning-algorithm n-step-bootstrapping

Updated Feb 16, 2021
Jupyter Notebook

kaymen99 / Robot-arm-control-with-RL

Star

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

reinforcement-learning robot-control ddpg-algorithm hindsight-experience-replay td3 twin-delayed-policy-gradient

Updated Sep 21, 2023
Python

PieroMacaluso / Deep-RL-Autonomous-Systems

Star

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 deep-reinforcement-learning openai-gym policy-gradient anki ddpg cozmo openai-gym-environments deep-deterministic-policy-gradient ddpg-algorithm openai-gym-environment cozmo-anki-robots soft-actor-critic

Updated Dec 8, 2022
Python

kinwo / deeprl-continuous-control

Star

Learning Continuous Control in Deep Reinforcement Learning

reinforcement-learning deep-reinforcement-learning pytorch reinforcement-learning-algorithms ddpg continuous-control ddpg-algorithm ddpg-agent unity-ml-agents

Updated Nov 24, 2018
HTML

joanby / drl2.0

Star

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

deep-learning deep-reinforcement-learning pytorch ddpg actor-critic ddpg-algorithm superdatascience-course ddpg-agent td3 pytorch-implementation ddpg-pytorch

Updated Jun 15, 2020
Jupyter Notebook

jimimvp / torch_rl

Star

Reinforcement learning library for PyTorch.

reinforcement-learning artificial-intelligence neural-networks ddpg ddpg-algorithm ppo hindsight-experience-replay hindsight-policy-gradients torch-rl spiking-networks

Updated Jun 15, 2018
Python

akshayratnawat / ReachingTargetLocation_ReinforcementLearning_Webots

Star

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.

reinforcement-learning robotics deep-reinforcement-learning policy-gradient webots ddpg-algorithm deterministic-policy-gradients deepq-learning epuck-robot q-learning-algorithm