We present our view of what is necessary to build an engaging open-domain conversational
agent: covering the qualities of such an agent, the pieces of the puzzle that have been built …

Collaborative tasks are ubiquitous activities where a form of communication is required in
order to reach a joint goal. Collaborative building is one of such tasks. We wish to develop …

Abstract Non-Player Characters (NPCs) significantly enhance the player experience in many
games. Historically, players' interactions with NPCs have tended to be highly scripted, to be …

With the recent development of deep learning, AI models are widely used in various
domains. AI models show good performance for definite tasks such as image classification …

We explore unconstrained natural language feedback as a learning signal for artificial
agents. Humans use rich and varied language to teach, yet most prior work on interactive …

ABSTRACT AI has been widely used in intelligent transportation systems, autonomous
driving and automated vehicles in particular. Intelligent vehicles in the future will be a …

People always desire an embodied agent that can perform a task by understanding
language instruction. Moreover, they also want to monitor and expect agents to understand …

Human intelligence's adaptability is remarkable, allowing us to adjust to new tasks and multi-
modal environments swiftly. This skill is evident from a young age as we acquire new …

This paper describes an implementation of a bot assistant in Minecraft, and the tools and
platform allowing players to interact with the bot and to record those interactions. The …

We present a rich, multimodal dataset consisting of data from 40 teams of three humans
conducting simulated urban search-and-rescue (SAR) missions in a Minecraft-based …