A Survey of Domain-Specific Architectures for Reinforcement Learning
Reinforcement learning algorithms have been very Decorating Ideas successful at solving sequential decision-making problems in many different problem domains.However, their training is often time-consuming, with training times ranging from multiple hours to weeks.The development of domain-specific architectures for reinforcement learning promises f