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Train agents to walk, drive by themself using Unity ML Agent, OpenAI Gym and PyTorch

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Deep_Reinforcement_Learning

This repository contains projects for Deep Reinforcement Learning. All of the projects use simulation environments from Unity ML-Agents and OpenAI Gym.

Projects Overview

Navigation

P1_Navigation: In the first project, we will train an agent to collect yellow bananas while avoiding blue bananas.

Control Continuous Control

P2_Continuous: In the second project, we will train an robotic arm to reach target locations.

Competition Collaboration and Competition

P3_Collaboration: In the third project, we will train a pair of agents to play tennis.

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Train agents to walk, drive by themself using Unity ML Agent, OpenAI Gym and PyTorch

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