The DDPG algorithm incorporates Actor-Critic Deep Learning Agent for solving continuous action reinforcement learning problems.
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Updated
Apr 4, 2022 - Python
The DDPG algorithm incorporates Actor-Critic Deep Learning Agent for solving continuous action reinforcement learning problems.
Reinforcement Learning Project using DDPG
Implementation of Policy Gradient Methods for Continuous and Discrete Action Spaces
Learning agents in oligopolies (Cournot / Stackelberg) Agent-based model
Teach a Quadcopter How to Fly!
The program uses the DDPG algorithm and tf_agents library to train an agent in a custom environment called "TargetSeeker"
A model to control a double-jointed arm to reach target using Deep Deterministic Policy Gradients
Tennis Game play using Multi Agent DDPG - Deep Reinforcement Learning
Learning to play tennis from scratch with AlphaGo Zero style self-play using DDPG
Teach a quadcopter how to fly using reinforcement learning!
Learn how to apply reinforcement learning methods to applications that involve multiple, interacting agents. These techniques are used in a variety of applications, such as the coordination of autonomous vehicles.
DDPG algorithm applied for the double-jointed arm that can move to target locations.
FinSearch Research Competition
Usage of Unity ML-Agents train two agents to play tennis
Basic implementation of continuous control agents trained using deep reinforcement learning. Project 2 of Udacity Deep Reinforcement Learning NanoDegree.
Implementations of Rl algorithms ranging from Q-learning to Multi-Agent RL using DDPG in unity and gym environments.
Deep Reinforcement learning based tumour localisation
Repo for the Deep Reinforcement Learning Nanodegree program
DDPG Implementaion on bare tensorflow
Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment
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