Reinforcement Learning for Electronic Design Automation: Successes and Opportunities

Recent advancements in reinforcement learning confirm that reinforcement learning techniques can solve large scale problems leading to high quality autonomous decision making. It is a matter of time until we will see large scale applications of ...

Relational reinforcement learning is presented, a learning technique that combines reinforcement learning with relational learning or inductive logic programming. Due to the use of a more expressive representation language to represent states, actions ...

• RL can be used to solve problems involving sequential decision-making.
• RL is based on trial-and-error learning through rewards and punishments.
• The ultimate goal of an RL agent is to maximize cumulative reward.
• RL agent tries ...

Reinforcement Learning (RL) is a machine learning (ML) technique to learn sequential decision-making in complex problems. RL is inspired by trial-and-error based human/animal learning. It can learn an optimal policy autonomously with knowledge ...