Reinforcement Learning Algorithms with Python

1-task learning

1-task learning or simply transfer learning is the task of training the policy on one domain and transferring it onto a new one. Three major techniques can be employed to do that. These are as follows:

• Fine-tuning: This involves the refinement of the learned model on the target task. If you get involved in machine learning, and especially in computer vision or natural language processing, you have probably used this technique already. Unfortunately, in reinforcement learning, fine-tuning is not as easy as it is in the aforementioned fields, as it requires more careful engineering and generally has lower benefits. The reason for this is that, in general, the gap between the two RL tasks is bigger than the gap between two different ...