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Safe Option-Critic: Learning Safety in the Option-Critic Architecture

21 July 2018

Papers citing "Safe Option-Critic: Learning Safety in the Option-Critic Architecture"

23 / 23 papers shown

Title
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding Daniel Bethell Simos Gerasimou R. Calinescu Calum Imrie OffRL OnRL 134 0 0 28 May 2024
The Option Keyboard: Combining Skills in Reinforcement Learning André Barreto Diana Borsa Shaobo Hou Gheorghe Comanici Eser Aygun ... Daniel Toyama Jonathan J. Hunt Shibl Mourad David Silver Doina Precup 61 99 0 24 Jun 2021
Variance Penalized On-Policy and Off-Policy Actor-Critic Arushi Jain Gandharv Patil Ayush Jain Khimya Khetarpal Doina Precup OffRL 33 10 0 03 Feb 2021
Options of Interest: Temporal Abstraction with Interest Functions Khimya Khetarpal Martin Klissarov Maxime Chevalier-Boisvert Pierre-Luc Bacon Doina Precup 63 45 0 01 Jan 2020
Directly Estimating the Variance of the λ-Return Using Temporal-Difference Methods Craig Sherstan Brendan Bennett K. Young Dylan R. Ashley Adam White Martha White R. Sutton 58 15 0 25 Jan 2018
Inverse Reward Design Dylan Hadfield-Menell S. Milli Pieter Abbeel Stuart J. Russell Anca Dragan 86 399 0 08 Nov 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents Marlos C. Machado Marc G. Bellemare Erik Talvitie J. Veness Matthew J. Hausknecht Michael Bowling 100 557 0 18 Sep 2017
When Waiting is not an Option : Learning Options with a Deliberation Cost J. Harb Pierre-Luc Bacon Martin Klissarov Doina Precup 55 149 0 14 Sep 2017
Reinforcement Learning with a Corrupted Reward Channel Tom Everitt Victoria Krakovna Laurent Orseau Marcus Hutter Shane Legg 93 104 0 23 May 2017
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 71 1,089 0 16 Sep 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 250 2,405 0 21 Jun 2016
Strategic Attentive Writer for Learning Macro-Actions Alexander A. Vezhnevets Volodymyr Mnih J. Agapiou Simon Osindero Alex Graves Oriol Vinyals Koray Kavukcuoglu 57 171 0 15 Jun 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 76 1,141 0 20 Apr 2016
Adaptive Skills, Adaptive Partitions (ASAP) D. Mankowitz Timothy A. Mann Shie Mannor 69 58 0 10 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 207 8,881 0 04 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,769 0 20 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 175 7,665 0 22 Sep 2015
Massively Parallel Methods for Deep Reinforcement Learning Arun Nair Praveen Srinivasan Sam Blackwell Cagdas Alcicek Rory Fearon ... Stig Petersen Shane Legg Volodymyr Mnih Koray Kavukcuoglu David Silver OffRL AI4CE GNN 102 505 0 15 Jul 2015
Risk-sensitive Reinforcement Learning Yun Shen Michael J. Tobia T. Sommer Klaus Obermayer 96 320 0 08 Nov 2013
Scaling Up Robust MDPs by Reinforcement Learning Aviv Tamar Huan Xu Shie Mannor 67 42 0 26 Jun 2013
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 120 3,021 0 19 Jul 2012
Policy Gradients with Variance Related Risk Criteria Dotan Di Castro Aviv Tamar Shie Mannor 101 211 0 27 Jun 2012
Risk-Sensitive Reinforcement Learning Applied to Control under Constraints Peter Geibel F. Wysotzki 84 319 0 09 Sep 2011