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Risk-Sensitive Generative Adversarial Imitation Learning
v1v2 (latest)

Risk-Sensitive Generative Adversarial Imitation Learning

13 August 2018
Jonathan Lacotte
Mohammad Ghavamzadeh
Yinlam Chow
Marco Pavone
    GAN
ArXiv (abs)PDFHTML

Papers citing "Risk-Sensitive Generative Adversarial Imitation Learning"

20 / 20 papers shown
Distributional Inverse Reinforcement Learning
Distributional Inverse Reinforcement Learning
Feiyang Wu
Ye Zhao
Anqi Wu
OffRL
291
0
0
03 Oct 2025
TubeDAgger: Reducing the Number of Expert Interventions with Stochastic Reach-Tubes
TubeDAgger: Reducing the Number of Expert Interventions with Stochastic Reach-Tubes
Julian Lemmel
Manuel Kranzl
Adam Lamine
P. Neubauer
Radu Grosu
Sophie A. Neubauer
115
0
0
01 Oct 2025
TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning
TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning
Yuxuan Li
Yicheng Gao
Ning Yang
Stephen Xia
OffRL
461
0
0
08 Apr 2025
Robustness in the Face of Partial Identifiability in Reward Learning
Robustness in the Face of Partial Identifiability in Reward Learning
Filippo Lazzati
Alberto Maria Metelli
275
1
0
10 Jan 2025
Risk-Aware Robotics: Tail Risk Measures in Planning, Control, and
  Verification
Risk-Aware Robotics: Tail Risk Measures in Planning, Control, and Verification
Prithvi Akella
Anushri Dixit
M. Ahmadi
Lars Lindemann
Margaret P. Chapman
George J. Pappas
Aaron D. Ames
J. W. Burdick
489
14
0
27 Mar 2024
Benchmarks and Algorithms for Offline Preference-Based Reward Learning
Benchmarks and Algorithms for Offline Preference-Based Reward Learning
Daniel Shin
Anca Dragan
Daniel S. Brown
OffRL
315
71
0
03 Jan 2023
On the convex formulations of robust Markov decision processes
On the convex formulations of robust Markov decision processesMathematics of Operations Research (MOR), 2022
Julien Grand-Clément
Marek Petrik
313
13
0
21 Sep 2022
Imitating, Fast and Slow: Robust learning from demonstrations via
  decision-time planning
Imitating, Fast and Slow: Robust learning from demonstrations via decision-time planning
Carl Qi
Pieter Abbeel
Aditya Grover
OffRL
177
3
0
07 Apr 2022
Fail-Safe Adversarial Generative Imitation Learning
Fail-Safe Adversarial Generative Imitation Learning
Philipp Geiger
C. Straehle
GAN
242
2
0
03 Mar 2022
Offline Preference-Based Apprenticeship Learning
Offline Preference-Based Apprenticeship Learning
Daniel Shin
Daniel S. Brown
Anca D. Dragan
OffRL
305
20
0
20 Jul 2021
Policy Gradient Bayesian Robust Optimization for Imitation Learning
Policy Gradient Bayesian Robust Optimization for Imitation LearningInternational Conference on Machine Learning (ICML), 2021
Zaynah Javed
Daniel S. Brown
Satvik Sharma
Jerry Zhu
Ashwin Balakrishna
Marek Petrik
Anca Dragan
Ken Goldberg
360
18
0
11 Jun 2021
Multi-Robot Coordination and Planning in Uncertain and Adversarial
  Environments
Multi-Robot Coordination and Planning in Uncertain and Adversarial EnvironmentsCurrent Robotics Reports (CRR), 2021
Lifeng Zhou
Erfaun Noorani
361
55
0
02 May 2021
Risk-Averse Offline Reinforcement Learning
Risk-Averse Offline Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2021
Núria Armengol Urpí
Sebastian Curi
Andreas Krause
OffRL
286
79
0
10 Feb 2021
Perceive, Attend, and Drive: Learning Spatial Attention for Safe
  Self-Driving
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-DrivingIEEE International Conference on Robotics and Automation (ICRA), 2020
Bob Wei
Mengye Ren
Wenyuan Zeng
Ming Liang
Binh Yang
R. Urtasun
3DPC
351
45
0
02 Nov 2020
Bayesian Robust Optimization for Imitation Learning
Bayesian Robust Optimization for Imitation LearningNeural Information Processing Systems (NeurIPS), 2020
Daniel S. Brown
S. Niekum
Marek Petrik
513
40
0
24 Jul 2020
Primal Wasserstein Imitation Learning
Primal Wasserstein Imitation Learning
Robert Dadashi
Léonard Hussenot
Matthieu Geist
Olivier Pietquin
458
144
0
08 Jun 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from
  Preferences
Safe Imitation Learning via Fast Bayesian Reward Inference from PreferencesInternational Conference on Machine Learning (ICML), 2020
Daniel S. Brown
Russell Coleman
R. Srinivasan
S. Niekum
BDL
489
113
0
21 Feb 2020
Relational Mimic for Visual Adversarial Imitation Learning
Relational Mimic for Visual Adversarial Imitation Learning
Lionel Blondé
Yichuan Tang
Jian Zhang
Russ Webb
163
0
0
18 Dec 2019
Deep Bayesian Reward Learning from Preferences
Deep Bayesian Reward Learning from Preferences
Daniel S. Brown
S. Niekum
BDL
219
37
0
10 Dec 2019
Convergent Policy Optimization for Safe Reinforcement Learning
Convergent Policy Optimization for Safe Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2019
Ming Yu
Zhuoran Yang
Mladen Kolar
Zhaoran Wang
350
105
0
26 Oct 2019
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