Learning to Transform Service Instructions into Actions with Reinforcement Learning and Knowledge Base

◇IJAC Today-1 Nov.◇ https://t.co/DwAZSNV0GM A simulated platform with physical engine is built as interactive environment. Based on the knowledge base, a reward function with immediate rewards and delayed rewards is designed to handle sparse reward problem

◇IJAC Today-21 Sep.◇ https://t.co/1DKkFTVO6Y In order to improve the learning ability of robots, this paper presents a reinforcement learning approach with a knowledge base for mapping natural language instructions to executable action sequences. https://t