Explore, Exploit or Listen: Combining Human Feedback and Policy Model to
Speed up Deep Reinforcement Learning in 3D Worlds

Explore, Exploit or Listen: Combining Human Feedback and Policy Model to Speed up Deep Reinforcement Learning in 3D Worlds

12 September 2017

Papers citing "Explore, Exploit or Listen: Combining Human Feedback and Policy Model to Speed up Deep Reinforcement Learning in 3D Worlds"

14 / 14 papers shown

Title
Beyond Following: Mixing Active Initiative into Computational Creativity Zhiyu Lin Upol Ehsan Rohan Agarwal Samihan Dani Vidushi Vashishth Mark O. Riedl 46 0 0 06 Sep 2024
A Framework for Learning from Demonstration with Minimal Human Effort Marc Rigter Bruno Lacerda Nick Hawes 31 28 0 15 Jun 2023
Reinforcement Learning With Reward Machines in Stochastic Games Jueming Hu Jean-Raphael Gaglione Yanze Wang Zhe Xu Ufuk Topcu Yongming Liu 18 1 0 27 May 2023
Reinforcement Learning for UAV control with Policy and Reward Shaping Cristian Millán-Arias R. Contreras Francisco Cruz Bruno José Torres Fernandes OffRL 23 1 0 06 Dec 2022
A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning K. Mathewson P. Pilarski HAI 21 4 0 20 Apr 2022
Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior Md Sultan al Nahian Spencer Frazier Brent Harrison Mark O. Riedl 27 18 0 19 Apr 2021
Improving Deep Reinforcement Learning in Minecraft with Action Advice Spencer Frazier Mark O. Riedl 19 29 0 02 Aug 2019
Why Build an Assistant in Minecraft? Arthur Szlam Jonathan Gray Kavya Srinet Yacine Jernite Armand Joulin ... Siddharth Goyal Demi Guo Dan Rothermel C. L. Zitnick Jason Weston LLMAG 30 29 0 22 Jul 2019
A Human-Centered Approach to Interactive Machine Learning K. Mathewson 16 7 0 15 May 2019
Meta-learners' learning dynamics are unlike learners' Neil C. Rabinowitz OffRL 31 16 0 03 May 2019
Robot Learning via Human Adversarial Games Jiali Duan Qian Wang Lerrel Pinto C.-C. Jay Kuo Stefanos Nikolaidis AAML SSL 22 7 0 02 Mar 2019
Parenting: Safe Reinforcement Learning from Human Input Christopher Frye Ilya Feige 14 7 0 18 Feb 2019
Reward learning from human preferences and demonstrations in Atari Borja Ibarz Jan Leike Tobias Pohlen G. Irving Shane Legg Dario Amodei 33 387 0 15 Nov 2018
Shared Autonomy via Deep Reinforcement Learning S. Reddy Anca Dragan Sergey Levine 21 177 0 06 Feb 2018