Download PDF Abstract: MineRL 2019 competition challenged participants to train sample-efficient agents to play Minecraft, by using a dataset...

Download PDF Abstract: Despite recent progress on computer vision and natural language processing, developing video understanding intelligence is still...

Download PDF Abstract: Machine learning models with both good predictability and high interpretability are crucial for decision support systems....

Download PDF Abstract: Reinforcement learning methods have been used to compute dialog policies from language-based interaction experiences. Efficiency is...

Download PDF Abstract: An important goal in reinforcement learning is to create agents that can quickly adapt to new...

Download PDF Abstract: Bayesian predictive coding is a putative neuromorphic method for acquiring higher-level neural representations to account for...

Download PDF Abstract: We show that the traveling salesman problem (TSP) and its many variants may be modeled as...

Download PDF Abstract: In the future we can expect that artificial intelligent agents, once deployed, will be required to...

Download PDF Abstract: We study how to infer new choices from previous choices in a conservative manner. To make...

Download PDF Abstract: Vision-and-Language Navigation (VLN) requires an agent to follow natural-language instructions, explore the given environments, and reach...

Download PDF Abstract: Dialogue engines that incorporate different types of agents to converse with humans are popular. However, conversations are...

Download PDF Abstract: Making changes to a program to optimize its performance is an unscalable task that relies entirely...