Twin-stick shooter simulation using reinforcement learning in Unity
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Updated
Sep 27, 2018 - C#
Twin-stick shooter simulation using reinforcement learning in Unity
Project 1 of Udacity Deep Reinforcement Learning Nanodegree
Multi-Agent-RL Competition on Unitys Tennis Environment
Contains code for Udacity's Deep Reinforcement learning Nanodegree program. The projects consist of experiments and implementations of DQN and DDPG algorithms using PyTorch, OpenAI Gym and UnityML Agents.
A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
🤖 Creation of an RL environment with Unity, where an agent must learn to survive by moving 🦿 and shooting🔫, using ML-Agents !
Reinforcement learning project using unity, 2 agents learn to play catch.
bachelors Main Project- Planes understand path/Track via Machine Learning
Citizen Science (Sci-tizen) visualisation in the Unity.com engine
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