A hands-on introduction to deep reinforcement learning using Unity ML-Agents

This is a skeleton project used for the tutorial series 'A hands-on introduction to deep reinforcement learning using Unity ML-Agents'.

Sections

• Part 1: Getting started with Unity ML-Agents
• Part 2: Building a volleyball reinforcement learning environment
• Part 3: Design reinforcement learning agents
• Part 4: Training an agent using PPO
• Part 5: Self-play with Unity ML-Agents

Credits

• Agent Cube prefabs, materials, and sample code from the ML-Agents projects
• Volleyball prefab & sand material from Free Beach Essentials Asset Pack
• Net material from Free Grids & Nets Materials Pack