Training a pair of agents to play tennis
-
Updated
Nov 9, 2018 - Python
Training a pair of agents to play tennis
Multi-agent DDPG on ml-agents environment
Projects from Udacity's Deep Reinforcement Learning Nanodegree course.
Multiagent Reinforcement Learning project to handle collaborate and compete scenarios for Tennis Unity environment. MADDPG algorithm is used to solve the environment.
In this repo, I implement deep deterministic policy gradients and multi-agent deep deterministic poilicy gradients to solve the Tennis enironment (Unity ML-Agents)
This is Multi agent deep reinforcement learning repo which trains an agent to play Tennis. It trains by playing against itself.
Deep Reinforcement Learning Nanodegree projects
My internship project in 𝖢𝖠𝖲𝖨𝖠. 🤗
Using MADDPG algorithm to solve the unity tennis environment.
Training a pair of competing RL agents to play Tennis using MADDPG algorithm
Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
My solution to Collaboration and Competition using MADDPG algorithm, Udacity 3rd project of Deep RL Nanodegree from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Training cooperative behaviour in Ghosts to capture Pac-Man using multi-agent deep reinforcement learning
Project on multi agent reinforcement learning applied on patrolling agents
Multi Agent Determinisitc Deep Policy Gradients run on OpenAI Robot Arms Environments
Two deep-reinforcement learning agents that play tennis.
Pytorch implementation of MADDPG algorithm
Add a description, image, and links to the maddpg topic page so that developers can more easily learn about it.
To associate your repository with the maddpg topic, visit your repo's landing page and select "manage topics."