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Active Exploration for Inverse Reinforcement Learning

Active Exploration for Inverse Reinforcement Learning

18 July 2022
David Lindner
Andreas Krause
Giorgia Ramponi
ArXivPDFHTML

Papers citing "Active Exploration for Inverse Reinforcement Learning"

18 / 18 papers shown
Title
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Chengmin Zhou
Ville Kyrki
Pasi Fränti
Laura Ruotsalainen
BDL
AI4CE
42
0
0
12 May 2025
Rethinking Inverse Reinforcement Learning: from Data Alignment to Task
  Alignment
Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment
Weichao Zhou
Wenchao Li
36
0
0
31 Oct 2024
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning
Bo Yue
Jian Li
Guiliang Liu
29
2
0
24 Sep 2024
Geometric Active Exploration in Markov Decision Processes: the Benefit
  of Abstraction
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction
Ric De Santi
Federico Arangath Joseph
Noah Liniger
Mirco Mutti
Andreas Krause
AI4CE
48
1
0
18 Jul 2024
Preference Elicitation for Offline Reinforcement Learning
Preference Elicitation for Offline Reinforcement Learning
Alizée Pace
Bernhard Schölkopf
Gunnar Rätsch
Giorgia Ramponi
OffRL
69
1
0
26 Jun 2024
Inverse Concave-Utility Reinforcement Learning is Inverse Game Theory
Inverse Concave-Utility Reinforcement Learning is Inverse Game Theory
M. Çelikok
F. Oliehoek
Jan-Willem van de Meent
43
0
0
29 May 2024
Randomized algorithms and PAC bounds for inverse reinforcement learning
  in continuous spaces
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces
Angeliki Kamoutsi
Peter Schmitt-Förster
Tobias Sutter
V. Cevher
John Lygeros
55
0
0
24 May 2024
A Unified Linear Programming Framework for Offline Reward Learning from
  Human Demonstrations and Feedback
A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback
Kihyun Kim
Jiawei Zhang
Asuman Ozdaglar
P. Parrilo
OffRL
41
1
0
20 May 2024
Inverse Reinforcement Learning with Sub-optimal Experts
Inverse Reinforcement Learning with Sub-optimal Experts
Riccardo Poiani
Gabriele Curti
Alberto Maria Metelli
Marcello Restelli
24
1
0
08 Jan 2024
A Survey of Imitation Learning: Algorithms, Recent Developments, and
  Challenges
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges
Maryam Zare
P. Kebria
Abbas Khosravi
Saeid Nahavandi
24
81
0
05 Sep 2023
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and
  Research Opportunities
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities
Yanjie Song
Yutong Wu
Yangyang Guo
Ran Yan
Suganthan
Yue Zhang
Witold Pedrycz
Swagatam Das
R. Mallipeddi
Solomon Ajani
50
38
0
25 Aug 2023
Curricular Subgoals for Inverse Reinforcement Learning
Curricular Subgoals for Inverse Reinforcement Learning
Shunyu Liu
Yunpeng Qing
Shuqi Xu
Hongyan Wu
Jiangtao Zhang
Jingyuan Cong
Tianhao Chen
Yunfu Liu
Mingli Song
21
1
0
14 Jun 2023
Provably Efficient Adversarial Imitation Learning with Unknown
  Transitions
Provably Efficient Adversarial Imitation Learning with Unknown Transitions
Tian Xu
Ziniu Li
Yang Yu
Zhimin Luo
13
8
0
11 Jun 2023
PAGAR: Taming Reward Misalignment in Inverse Reinforcement
  Learning-Based Imitation Learning with Protagonist Antagonist Guided
  Adversarial Reward
PAGAR: Taming Reward Misalignment in Inverse Reinforcement Learning-Based Imitation Learning with Protagonist Antagonist Guided Adversarial Reward
Weichao Zhou
Wenchao Li
26
0
0
02 Jun 2023
Towards Theoretical Understanding of Inverse Reinforcement Learning
Towards Theoretical Understanding of Inverse Reinforcement Learning
Alberto Maria Metelli
Filippo Lazzati
Marcello Restelli
26
13
0
25 Apr 2023
Environment Design for Inverse Reinforcement Learning
Environment Design for Inverse Reinforcement Learning
Thomas Kleine Buening
Victor Villin
Christos Dimitrakakis
32
1
0
26 Oct 2022
Unsolved Problems in ML Safety
Unsolved Problems in ML Safety
Dan Hendrycks
Nicholas Carlini
John Schulman
Jacob Steinhardt
186
273
0
28 Sep 2021
Reward-Free Exploration for Reinforcement Learning
Reward-Free Exploration for Reinforcement Learning
Chi Jin
A. Krishnamurthy
Max Simchowitz
Tiancheng Yu
OffRL
112
194
0
07 Feb 2020
1