Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings

15 August 2020

Papers citing "Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings"

21 / 21 papers shown

Title
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 216 414 0 25 Sep 2019
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning, Extended version Erwan Lecarpentier Emmanuel Rachelson 85 85 0 22 Apr 2019
Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization Pengqian Yu J. Lee Ilya Kulyatin Zekun Shi Sakyasingha Dasgupta 46 64 0 25 Jan 2019
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic Mikael Henaff A. Canziani Yann LeCun OOD 77 122 0 08 Jan 2019
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 224 1,277 0 30 May 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 117 548 0 30 Mar 2018
Meta Reinforcement Learning with Latent Variable Gaussian Processes Steindór Sæmundsson Katja Hofmann M. Deisenroth BDL OffRL AI4CE 74 141 0 20 Mar 2018
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 102 1,363 0 18 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 493 19,019 0 20 Jul 2017
Safe Model-based Reinforcement Learning with Stability Guarantees Felix Berkenkamp M. Turchetta Angela P. Schoellig Andreas Krause 176 851 0 23 May 2017
A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems J. F. Fisac Anayo K. Akametalu Melanie Zeilinger Shahab Kaynama J. Gillula Claire Tomlin 58 497 0 03 May 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 247 2,963 0 20 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,899 0 09 Mar 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 95 854 0 08 Mar 2017
Uncertainty-Aware Reinforcement Learning for Collision Avoidance G. Kahn Adam R. Villaflor Vitchyr H. Pong Pieter Abbeel Sergey Levine 96 313 0 03 Feb 2017
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 305 818 0 13 Nov 2016
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles Aravind Rajeswaran Sarvjeet Ghotra Balaraman Ravindran Sergey Levine 165 351 0 05 Oct 2016
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 121 317 0 06 Jun 2015
Algorithms for CVaR Optimization in MDPs Yinlam Chow Mohammad Ghavamzadeh 73 198 0 12 Jun 2014
Optimizing the CVaR via Sampling Aviv Tamar Yonatan Glassner Shie Mannor 77 186 0 15 Apr 2014
Provably Safe and Robust Learning-Based Model Predictive Control A. Aswani Humberto González S. Shankar Sastry Claire Tomlin 96 524 0 13 Jul 2011