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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 !
Multi-Agent-RL Competition on Unitys Tennis Environment
Twin-stick shooter simulation using reinforcement learning in Unity
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.
bachelors Main Project- Planes understand path/Track via Machine Learning
Reinforcement learning project using unity, 2 agents learn to play catch.
Project 1 of Udacity Deep Reinforcement Learning Nanodegree