How do I choose a reinforcement learning algorithm?

How do I choose a reinforcement learning algorithm?

Choosing a reinforcement learning algorithm depends on your specific problem, data availability, and computational resources. What are you trying to achieve?

I'm working on a robotics project that requires real-time decision making.

For robotics, you might consider algorithms like DDPG or PPO, as they handle continuous action spaces well. Do you have a preference for model-based or model-free methods?

I prefer model-free methods. What are the advantages of using PPO?

PPO is known for its stability and ease of tuning. It balances exploration and exploitation effectively, making it suitable for complex environments. Would you like to know about its implementation?

Yes, that would be great! How do I implement PPO in my project?