Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear

3 November 2016

Zachary Chase Lipton

Kamyar Azizzadenesheli

Li Deng

Papers citing "Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear"

26 / 26 papers shown

Title
Safe Deep Reinforcement Learning by Verifying Task-Level Properties Enrico Marchesini Luca Marzari Alessandro Farinelli Chris Amato OffRL 36 13 0 20 Feb 2023
Knowledge-Guided Exploration in Deep Reinforcement Learning Sahisnu Mazumder Bing-Quan Liu Shuai Wang Yingxuan Zhu Xiaotian Yin Lifeng Liu Jian Li 68 4 0 26 Oct 2022
Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots Krishan Rana Vibhavari Dasagi Jesse Haviland Ben Talbot Michael Milford Niko Sünderhauf 37 1 0 10 Dec 2021
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning Hao-Lun Hsu Qiuhua Huang Sehoon Ha OffRL 49 11 0 29 Sep 2021
Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces Ziyad Sheebaelhamd Konstantinos Zisis Athina Nisioti Dimitris Gkouletsos Dario Pavllo Jonas Köhler AI4CE 27 16 0 09 Aug 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 52 2 0 04 Jan 2021
Avoiding Side Effects By Considering Future Tasks Victoria Krakovna Laurent Orseau Richard Ngo Miljan Martic Shane Legg 24 38 0 15 Oct 2020
Safe Reinforcement Learning through Meta-learned Instincts Djordje Grbic S. Risi 23 8 0 06 May 2020
Evolution of Q Values for Deep Q Learning in Stable Baselines M. Andrews Cemil Dibek Karina Palyutina 19 3 0 24 Apr 2020
Safe Reinforcement Learning on Autonomous Vehicles David Isele A. Nakhaei K. Fujimura 19 74 0 27 Sep 2019
Generalizing from a few environments in safety-critical reinforcement learning Zachary Kenton Angelos Filos Owain Evans Y. Gal 42 16 0 02 Jul 2019
Evolutionary Computation and AI Safety: Research Problems Impeding Routine and Safe Real-world Application of Evolution Joel Lehman 20 7 0 24 Jun 2019
Safer Deep RL with Shallow MCTS: A Case Study in Pommerman Bilal Kartal Pablo Hernandez-Leal Chao Gao Matthew E. Taylor OffRL 33 7 0 10 Apr 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 34 364 0 30 Jan 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 48 555 0 12 Oct 2018
Better Safe than Sorry: Evidence Accumulation Allows for Safe Reinforcement Learning Akshat Agarwal Abhinau K. Venkataramanan Kyle Dunovan Erik J Peterson Timothy D. Verstynen Katia Sycara OffRL 18 3 0 24 Sep 2018
Troubling Trends in Machine Learning Scholarship Zachary Chase Lipton Jacob Steinhardt 35 288 0 09 Jul 2018
Penalizing side effects using stepwise relative reachability Victoria Krakovna Laurent Orseau Ramana Kumar Miljan Martic Shane Legg 28 55 0 04 Jun 2018
AGI Safety Literature Review Tom Everitt G. Lea Marcus Hutter AI4CE 41 115 0 03 May 2018
AI Safety Gridworlds Jan Leike Miljan Martic Victoria Krakovna Pedro A. Ortega Tom Everitt Andrew Lefrancq Laurent Orseau Shane Legg 52 250 0 27 Nov 2017
"Dave...I can assure you...that it's going to be all right..." -- A definition, case for, and survey of algorithmic assurances in human-autonomy trust relationships Brett W. Israelsen Nisar R. Ahmed 14 85 0 08 Nov 2017
Trial without Error: Towards Safe Reinforcement Learning via Human Intervention William Saunders Girish Sastry Andreas Stuhlmuller Owain Evans OffRL 35 230 0 17 Jul 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 61 1,309 0 30 May 2017
Deep Robust Kalman Filter Shirli Di-Castro Shashua Shie Mannor BDL 38 28 0 07 Mar 2017
Agent-Agnostic Human-in-the-Loop Reinforcement Learning David Abel J. Salvatier Andreas Stuhlmuller Owain Evans 27 60 0 15 Jan 2017
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 85 308 0 22 May 2012