47 citations · 60 across the 3 of their papers we have counts for
3 papers
cs.HC2018★ 47 cited
DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback
Riku Arakawa, Sosuke Kobayashi, Yuya Unno +2
Exploration has been one of the greatest challenges in reinforcement learning (RL), which is a large obstacle in the application of RL to robotics. Even with state-of-the-art RL al…
cs.CL2018
Addressee and Response Selection for Multilingual Conversation
Motoki Sato, Hiroki Ouch, Yuta Tsuboi
Developing conversational systems that can converse in many languages is an interesting challenge for natural language processing. In this paper, we introduce multilingual addresse…
cs.RO2017★ 13 cited
Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions
Jun Hatori, Yuta Kikuchi, Sosuke Kobayashi +5
Comprehension of spoken natural language is an essential component for robots to communicate with human effectively. However, handling unconstrained spoken instructions is challeng…