Intrinsically motivated reinforcement learning for human-robot interaction in the real-world

14 April 2018

Papers citing "Intrinsically motivated reinforcement learning for human-robot interaction in the real-world"

8 / 8 papers shown

Title
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 493 19,019 0 20 Jul 2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning Joshua Achiam S. Shankar Sastry 69 237 0 06 Mar 2017
Show, Attend and Interact: Perceivable Human-Robot Social Interaction through Neural Attention Q-Network A. H. Qureshi Yutaka Nakamura Yuichiro Yoshikawa H. Ishiguro 29 31 0 28 Feb 2017
Robot gains Social Intelligence through Multimodal Deep Reinforcement Learning A. H. Qureshi Yutaka Nakamura Yuichiro Yoshikawa H. Ishiguro 35 90 0 24 Feb 2017
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning S. Mohamed Danilo Jimenez Rezende DRL SSL 97 402 0 29 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 318 13,237 0 09 Sep 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 311 3,434 0 02 Apr 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,767 0 19 Feb 2015