A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
-
Updated
Feb 8, 2021 - C#
A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
Learn to create agents in Unity ML using Deep Reinforcement Learning with Tensorflow.
Samples for TensorFlow binding for .NET by Lost Tech
Learning Continuous Control in Deep Reinforcement Learning
3D Packing with Deep Reinforcement Learning using Unity ML-Agents
Code for reproducing results in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"
Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis
Train an agent using RL to navigate (and collect bananas) in a large, square world
Multi agent PPO implementation in Pytorch for Unity ML Agents environments.
Project 3 of Udacity Deep Reinforcement Learning Nanodegree
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM) on Pyramid env, Unity ML
Age of war clone made in unity in order to speed up the neat algorithm training process. The values are extracted from the original game. It Communicates with a python script
Continuous Control with deep reinforcement learning where the agent must reach a moving ball with a double jointed arm
My solutions (with explanations) to the Udacity Deep Reinforcement Learning Nano Degree Program assignments, mini-projects and projects
We train an agent to manuver in a 3-D environment avoiding blue bananas and picking yellow ones as fast as possible.
Keeping the double-jointed arm hand in the green sphere
Navigating a banana world using Dueling Double DQN network
A self driving car created using Unity ML-Agents
A collection of algorithms for Deep Reinforcement Learning (DRL). Algorithms covered include Value-Based, Policy-Based and Actor-Critic Methods.
Add a description, image, and links to the unity-ml-agents topic page so that developers can more easily learn about it.
To associate your repository with the unity-ml-agents topic, visit your repo's landing page and select "manage topics."