This page is dedicated to tutorials on Reinforcement Learning (RL) Games within the community projects. Whether you are a beginner or an experienced RL enthusiast, you will find valuable resources here.
Tutorials Overview
Deep Q-Learning (DQN)
- Learn how to implement DQN for playing games like Atari.
- Read more
Policy Gradient Methods
- Understand policy gradient methods and their applications in game AI.
- Read more
Multi-Agent RL
- Explore the challenges and techniques in multi-agent reinforcement learning.
- Read more
Recommended Reading
- **Community Forum] - Join discussions and ask questions about RL games.
- **Latest Research Papers] - Stay updated with the latest research in RL.
Learning Resources
- Online Courses - Find courses on RL and AI.
- Books - Read books on reinforcement learning.
Deep Learning in Games
By following these tutorials and resources, you will gain a deeper understanding of RL and its applications in gaming. Happy learning!