Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration

21 September 2018

Papers citing "Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration"

10 / 10 papers shown

Title
Building Ethics into Artificial Intelligence Han Yu Zhiqi Shen Chunyan Miao Cyril Leung V. Lesser Qiang Yang AI4TS 57 189 0 07 Dec 2018
Incorporating Behavioral Constraints in Online AI Systems Avinash Balakrishnan Djallel Bouneffouf Nicholas Mattei F. Rossi OffRL 79 66 0 15 Sep 2018
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees Guiliang Liu Oliver Schulte Wang Zhu Qingcan Li AI4CE 45 136 0 16 Jul 2018
Programmatically Interpretable Reinforcement Learning Abhinav Verma V. Murali Rishabh Singh Pushmeet Kohli Swarat Chaudhuri 121 355 0 06 Apr 2018
A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents Yueh-hua Wu Shou-De Lin OffRL 33 63 0 12 Dec 2017
AI Safety Gridworlds Jan Leike Miljan Martic Victoria Krakovna Pedro A. Ortega Tom Everitt Andrew Lefrancq Laurent Orseau Shane Legg 111 255 0 27 Nov 2017
A Voting-Based System for Ethical Decision Making Ritesh Noothigattu Snehalkumar Ñeil' S. Gaikwad E. Awad Sohan Dsouza Iyad Rahwan Pradeep Ravikumar Ariel D. Procaccia FaML 41 202 0 20 Sep 2017
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 239 2,403 0 21 Jun 2016
Research Priorities for Robust and Beneficial Artificial Intelligence Stuart J. Russell Dan Dewey Max Tegmark 68 657 0 10 Feb 2016
Thompson Sampling for Contextual Bandits with Linear Payoffs Shipra Agrawal Navin Goyal 195 1,004 0 15 Sep 2012