Risk-Aware Active Inverse Reinforcement Learning

Risk-Aware Active Inverse Reinforcement Learning

8 January 2019

Daniel S. Brown

Yuchen Cui

Papers citing "Risk-Aware Active Inverse Reinforcement Learning"

15 / 15 papers shown

Title
RL, but don't do anything I wouldn't do Michael K. Cohen Marcus Hutter Yoshua Bengio Stuart J. Russell OffRL 35 2 0 08 Oct 2024
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks Stephanie Milani Anssi Kanervisto Karolis Ramanauskas Sander Schulhoff Brandon Houghton Rohin Shah 23 6 0 05 Dec 2023
Imitating careful experts to avoid catastrophic events J.R.P. Hanslope Laurence Aitchison OffRL 27 0 0 02 Feb 2023
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking David Zhang Micah Carroll Andreea Bobu Anca Dragan 22 4 0 30 Nov 2022
Environment Design for Inverse Reinforcement Learning Thomas Kleine Buening Victor Villin Christos Dimitrakakis 30 1 0 26 Oct 2022
MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based Robot Navigation Aaron M. Roth Jing Liang Ram D. Sriram Elham Tabassi Dinesh Manocha 26 1 0 19 Sep 2022
Inducing Structure in Reward Learning by Learning Features Andreea Bobu Marius Wiggert Claire Tomlin Anca Dragan 19 30 0 18 Jan 2022
Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations A. Mohtasib Amir Ghalamzan Nicola Bellotto Heriberto Cuay´ahuitl 13 1 0 01 Jul 2021
Bayesian Robust Optimization for Imitation Learning Daniel S. Brown S. Niekum Marek Petrik 27 32 0 24 Jul 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel S. Brown Russell Coleman R. Srinivasan S. Niekum BDL 22 100 0 21 Feb 2020
Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections Andreea Bobu Andrea V. Bajcsy J. F. Fisac Sampada Deglurkar Anca Dragan 22 41 0 03 Feb 2020
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum G. Konidaris 24 355 0 06 Jul 2019
DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL Daniel Angelov Yordan V. Hristov S. Ramamoorthy 11 1 0 24 Jun 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering Avi Singh Larry Yang Kristian Hartikainen Chelsea Finn Sergey Levine SSL OffRL 40 266 0 16 Apr 2019
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 67 310 0 06 Jun 2015