Implementation of the DDPG algorithm for Optimal Finance Trading
-
Updated
Sep 15, 2019 - Jupyter Notebook
Implementation of the DDPG algorithm for Optimal Finance Trading
An attempt to detect and prevent DDoS attacks using reinforcement learning. The simulation was done using Mininet.
La combinación más inteligente de Deep Q-Learning, Políticas de Gradiente, Actor-Crítico y DDPG utilizando PyTorch
Reason8.ai PyTorch solution for NIPS RL 2017 challenge
Implementation of DDPG+HER on gym robotics environment FetchReach-v1
Learning Continuous Control in Deep Reinforcement Learning
Important Note fastrl version 2 is being developed at fastrl. Note the link in the readme
Create and train a double-jointed arm agent that is able to maintain its hand in contact with a moving target
Deep Reinforcement learning based tumour localisation
DDPG Implementaion on bare tensorflow
Repo for the Deep Reinforcement Learning Nanodegree program
Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment
The DDPG algorithm incorporates Actor-Critic Deep Learning Agent for solving continuous action reinforcement learning problems.
Implementation of Policy Gradient Methods for Continuous and Discrete Action Spaces
Learning agents in oligopolies (Cournot / Stackelberg) Agent-based model
The program uses the DDPG algorithm and tf_agents library to train an agent in a custom environment called "TargetSeeker"
Teach a Quadcopter How to Fly!
Reinforcement Learning Project using DDPG
A model to control a double-jointed arm to reach target using Deep Deterministic Policy Gradients
Add a description, image, and links to the ddpg-agent topic page so that developers can more easily learn about it.
To associate your repository with the ddpg-agent topic, visit your repo's landing page and select "manage topics."