Leveraging Human Guidance for Deep Reinforcement Learning Tasks

Understand

Reinforcement learning agents can learn to solve sequential decision tasks by interacting with the environment.

• Human knowledge of how to solve these tasks can be incorporated using imitation learning, where the agent learns to imitate human demonstrated decisions.
• However, human guidance is not limited to the demonstrations.
• Other types of guidance could be more suitable for certain tasks and require less human effort.