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1805.12573
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Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
31 May 2018
Kelvin Xu
Ellis Ratner
Anca Dragan
Sergey Levine
Chelsea Finn
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Papers citing
"Learning a Prior over Intent via Meta-Inverse Reinforcement Learning"
44 / 44 papers shown
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In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminates
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M. Toneva
Thomas Griffiths
333
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Learning Shared Safety Constraints from Multi-task Demonstrations
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Sebastian Tschiatschek
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227
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25 May 2023
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Kernel Density Bayesian Inverse Reinforcement Learning
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Aligning Robot and Human Representations
IEEE/ACM International Conference on Human-Robot Interaction (HRI), 2023
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Pulkit Agrawal
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Anca D. Dragan
340
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03 Feb 2023
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants
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Xavier Puig
Tianmin Shu
J. Tenenbaum
Antonio Torralba
143
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12 Jan 2023
SIRL: Similarity-based Implicit Representation Learning
IEEE/ACM International Conference on Human-Robot Interaction (HRI), 2023
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02 Jan 2023
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning
International Conference on Machine Learning (ICML), 2022
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Tianmin Shu
J. Tenenbaum
Pulkit Agrawal
149
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24 Nov 2022
Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience
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Natasha Jaques
Sergey Levine
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148
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09 Aug 2022
Robust Imitation Learning against Variations in Environment Dynamics
International Conference on Machine Learning (ICML), 2022
Jongseong Chae
Seungyul Han
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187
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Aligning Robot Representations with Humans
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175
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178
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Arkady Zgonnikov
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219
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30 Dec 2021
Generalized Decision Transformer for Offline Hindsight Information Matching
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Hiroki Furuta
Y. Matsuo
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261
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19 Nov 2021
SS-MAIL: Self-Supervised Multi-Agent Imitation Learning
Akshay Dharmavaram
Tejus Gupta
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96
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18 Oct 2021
OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching
IEEE International Conference on Robotics and Automation (ICRA), 2021
Hanako Hoshino
Keita Ota
Asako Kanezaki
Rio Yokota
OffRL
OOD
155
20
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09 Sep 2021
Policy Gradient Bayesian Robust Optimization for Imitation Learning
International Conference on Machine Learning (ICML), 2021
Zaynah Javed
Daniel S. Brown
Satvik Sharma
Jerry Zhu
Ashwin Balakrishna
Marek Petrik
Anca Dragan
Ken Goldberg
281
18
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11 Jun 2021
Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks
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Pin Wang
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Ching-yao Chan
205
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23 Mar 2021
Combining Reward Information from Multiple Sources
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H. V. Hoof
191
4
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22 Mar 2021
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others
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Kanishk Gandhi
Gala Stojnic
Brenden M. Lake
M. Dillon
372
54
0
23 Feb 2021
Learning Occupancy Priors of Human Motion from Semantic Maps of Urban Environments
IEEE Robotics and Automation Letters (RA-L), 2021
Andrey Rudenko
Luigi Palmieri
Johannes Doellinger
A. Lilienthal
Kai O. Arras
HAI
184
14
0
17 Feb 2021
The MAGICAL Benchmark for Robust Imitation
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Sam Toyer
Rohin Shah
Andrew Critch
Stuart J. Russell
158
37
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01 Nov 2020
Bayesian Robust Optimization for Imitation Learning
Neural Information Processing Systems (NeurIPS), 2020
Daniel S. Brown
S. Niekum
Marek Petrik
448
40
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24 Jul 2020
On the Global Optimality of Model-Agnostic Meta-Learning
International Conference on Machine Learning (ICML), 2020
Lingxiao Wang
Qi Cai
Zhuoran Yang
Zhaoran Wang
193
47
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23 Jun 2020
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation
IEEE/ACM International Conference on Human-Robot Interaction (HRI), 2020
Letian Chen
Rohan R. Paleja
Muyleng Ghuy
Matthew C. Gombolay
423
44
0
02 Jan 2020
What Can Learned Intrinsic Rewards Capture?
International Conference on Machine Learning (ICML), 2019
Zeyu Zheng
Junhyuk Oh
Matteo Hessel
Zhongwen Xu
M. Kroiss
H. V. Hasselt
David Silver
Satinder Singh
300
81
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11 Dec 2019
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
Neural Information Processing Systems (NeurIPS), 2019
Lantao Yu
Tianhe Yu
Chelsea Finn
Stefano Ermon
OffRL
BDL
154
78
0
20 Sep 2019
Learning to Interactively Learn and Assist
AAAI Conference on Artificial Intelligence (AAAI), 2019
Mark P. Woodward
Chelsea Finn
Karol Hausman
275
35
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24 Jun 2019
On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference
International Conference on Machine Learning (ICML), 2019
Rohin Shah
Noah Gundotra
Pieter Abbeel
Anca Dragan
141
74
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23 Jun 2019
Inverse Reinforcement Learning in Contextual MDPs
Stav Belogolovsky
Philip Korsunsky
Shie Mannor
Chen Tessler
Tom Zahavy
OffRL
BDL
307
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23 May 2019
Meta Reinforcement Learning with Task Embedding and Shared Policy
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Lin Lan
Zhenguo Li
X. Guan
Peijie Wang
OffRL
287
52
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End-to-End Robotic Reinforcement Learning without Reward Engineering
Avi Singh
Larry Yang
Kristian Hartikainen
Chelsea Finn
Sergey Levine
SSL
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305
278
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Guiding Policies with Language via Meta-Learning
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John D. Co-Reyes
Abhishek Gupta
Suvansh Sanjeev
Nick Altieri
Jacob Andreas
John DeNero
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Sergey Levine
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178
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Avi Singh
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Multi-task Maximum Entropy Inverse Reinforcement Learning
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