Risk-sensitive Inverse Reinforcement Learning via Semi- and
Non-Parametric Methods

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Risk-sensitive Inverse Reinforcement Learning via Semi- and Non-Parametric Methods

28 November 2017

Jonathan Lacotte

Anirudha Majumdar

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Papers citing "Risk-sensitive Inverse Reinforcement Learning via Semi- and Non-Parametric Methods"

12 / 12 papers shown

Title
How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics Anirudha Majumdar Marco Pavone 88 195 0 30 Oct 2017
Inverse Risk-Sensitive Reinforcement Learning Lillian J. Ratliff Eric Mazumdar 28 8 0 29 Mar 2017
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization Chelsea Finn Sergey Levine Pieter Abbeel 108 951 0 01 Mar 2016
Maximum Entropy Deep Inverse Reinforcement Learning Markus Wulfmeier Peter Ondruska Ingmar Posner OOD 80 406 0 17 Jul 2015
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control A. PrashanthL. Cheng Jie Michael Fu Steve Marcus Csaba Szepesvári 66 91 0 08 Jun 2015
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 128 321 0 06 Jun 2015
Risk-sensitive Reinforcement Learning Yun Shen Michael J. Tobia T. Sommer Klaus Obermayer 94 320 0 08 Nov 2013
Computational Rationalization: The Inverse Equilibrium Problem Kevin Waugh Brian Ziebart J. Andrew Bagnell 78 82 0 15 Aug 2013
An Approximate Solution Method for Large Risk-Averse Markov Decision Processes Marek Petrik D. Subramanian 64 32 0 16 Oct 2012
Policy Gradients with Variance Related Risk Criteria Dotan Di Castro Aviv Tamar Shie Mannor 93 210 0 27 Jun 2012
Continuous Inverse Optimal Control with Locally Optimal Examples Sergey Levine V. Koltun OffRL 85 331 0 18 Jun 2012
Risk-Sensitive Reinforcement Learning Applied to Control under Constraints Peter Geibel F. Wysotzki 84 318 0 09 Sep 2011