hey chatGPT, 강화학습을 배우려면 어떻게 해야해?

 

If you are a beginner interested in reinforcement learning, here are a few steps you can take to get started:

1. Start by learning the basics of machine learning and artificial intelligence. You can do this by reading introductory texts or taking online courses to learn about the fundamental concepts and algorithms used in reinforcement learning.
2. Practice implementing simple reinforcement learning algorithms using a popular machine learning library such as TensorFlow or PyTorch. You can start by working on small projects or tutorials to gain hands-on experience and build your skills.
3. Enroll in a more advanced course or program to learn about more complex reinforcement learning algorithms and applications. There are many online courses and programs available that can provide you with a deeper understanding of reinforcement learning and help you develop practical skills.
4. Join a community of reinforcement learning practitioners. Many cities have local meetup groups or online forums where you can connect with other reinforcement learning enthusiasts and learn from each other. You can also attend conferences or workshops to learn about the latest developments in the field and network with other professionals.
5. Keep learning and experimenting. Reinforcement learning is a rapidly evolving field, and there is always more to learn and discover. Consider setting aside time to continue learning and experimenting with new techniques and technologies to stay up to date and advance your skills.

Overall, the key to learning reinforcement learning is to be curious, be persistent, and be willing to try new things. With dedication and hard work, you can develop the skills and knowledge needed to succeed in this exciting field.

 

 

다른 모델한테 물어봤을 경우,

 

What should a beginner do to reinforcement learning?

 

1. Read introductory materials, such as the book “Reinforcement Learning: An Introduction” by Richard S. Sutton and Andrew G. Barto.

2. Take online courses, such as the ones offered by Coursera and Udemy.

3. Practice coding by building your own reinforcement learning algorithms or tinkering with existing reinforcement learning libraries.

4. Participate in online communities, such as Reddit and Slack, to learn from and share experiences with other reinforcement learning practitioners.

5. Attend conferences, such as the International Conference on Machine Learning and the International Conference on Autonomous Agents and Multi-Agent Systems.

 

얘는 서튼 책까지 읽어보라고 소개해주고

코세라, 유데미까지 추천해준다.