There are 6 repositories under unity-ml-agents topic.
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
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
Multi agent PPO implementation in Pytorch for Unity ML Agents environments.
Learning Continuous Control in Deep Reinforcement Learning
3D Packing with Deep Reinforcement Learning using Unity ML-Agents (AI)
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM) on Pyramid env, Unity ML
Continuous Control with deep reinforcement learning where the agent must reach a moving ball with a double jointed arm
A self driving car created using Unity ML-Agents
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
In this repo, I implement deep deterministic policy gradients and multi-agent deep deterministic poilicy gradients to solve the Tennis enironment (Unity ML-Agents)
Code for generating data in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"
RL Algorithms with examples in Python / Pytorch / Unity ML agents
A collection of algorithms for Deep Reinforcement Learning (DRL). Algorithms covered include Value-Based, Policy-Based and Actor-Critic Methods.
Project 3 of Udacity Deep Reinforcement Learning Nanodegree
I tried to train AI to learn how to kart with Reinforcement Learning using UnityML-Agents
Implementation of the DDPG algorithm to solve Continuous Control Reacher Environment
Deep Reinforcement Learning: Two Competing Tennis Playing Agents
AI based Massive Multiplayer Online Simulation
Concept and development of a walking AT-ST Walker (Starwars) ML-agent.
Continuous Control Project for Deep Reinforcement Learning Nanodegree
Keeping the double-jointed arm hand in the green sphere
First steps in ML-Agents and Unity 🤖
Code to train a RL agent to solve the Reacher environment [Unity ML-Agents]
We train an agent to manuver in a 3-D environment avoiding blue bananas and picking yellow ones as fast as possible.
Deep Reinforcement Learning: Navigation. Capture yellow bananas while avoiding blue bananas with an agent trained using Deep Q-Networks on a Unity ML-Agent environment.
A collection of my implemented RL agents for games like Pacman, Pong, SpaceInvaders, Frozenlake, Taxi, Pixelcopter, Pyramids and a lot more by implementing various DRL algorithms using gym, unity-ml, pygame, sb3, rl-zoo and pandagym libraries. To see more advanced & interesting agents, please visit below link:
Project 2 of Udacity's Deep Reinforcement Learning Nanodegree Program
Navigation project environment from Unity ML-Agents
Some of my solutions of the exercises and all my projects of the Udacity Deep Reinforcement Learning Nanodegree https://www.udacity.com/course/deep-reinforcement-learning-nanodegree--nd893