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Meta-Inverse Reinforcement Learning with Probabilistic Context Variables

Meta-Inverse Reinforcement Learning with Probabilistic Context Variables

20 September 2019
Lantao Yu
Tianhe Yu
Chelsea Finn
Stefano Ermon
    OffRL
    BDL
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Papers citing "Meta-Inverse Reinforcement Learning with Probabilistic Context Variables"

17 / 17 papers shown
Title
Recursive Deep Inverse Reinforcement Learning
Recursive Deep Inverse Reinforcement Learning
Paul Ghanem
Owen Howell
Michael Potter
Pau Closas
A. Ramezani
Deniz Erdogmus
Tales Imbiriba
43
0
0
17 Apr 2025
Semi-Supervised One-Shot Imitation Learning
Semi-Supervised One-Shot Imitation Learning
Philipp Wu
Kourosh Hakhamaneshi
Yuqing Du
Igor Mordatch
Aravind Rajeswaran
Pieter Abbeel
SSL
55
1
0
09 Aug 2024
Multi Task Inverse Reinforcement Learning for Common Sense Reward
Multi Task Inverse Reinforcement Learning for Common Sense Reward
Neta Glazer
Aviv Navon
Aviv Shamsian
Ethan Fetaya
48
0
0
17 Feb 2024
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
Andrew Szot
Amy Zhang
Dhruv Batra
Z. Kira
Franziska Meier
OOD
OffRL
54
8
0
28 Mar 2023
A Tutorial on Meta-Reinforcement Learning
A Tutorial on Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
Emmy Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
92
126
0
19 Jan 2023
SIRL: Similarity-based Implicit Representation Learning
SIRL: Similarity-based Implicit Representation Learning
Andreea Bobu
Yi Liu
Rohin Shah
Daniel S. Brown
Anca Dragan
SSL
DRL
53
17
0
02 Jan 2023
Basis for Intentions: Efficient Inverse Reinforcement Learning using
  Past Experience
Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience
Marwa Abdulhai
Natasha Jaques
Sergey Levine
OffRL
32
5
0
09 Aug 2022
Learning Latent Traits for Simulated Cooperative Driving Tasks
Learning Latent Traits for Simulated Cooperative Driving Tasks
Jonathan A. DeCastro
Deepak Gopinath
Guy Rosman
Emily S. Sumner
Shabnam Hakimi
Simon Stent
30
0
0
20 Jul 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning
Transfering Hierarchical Structure with Dual Meta Imitation Learning
Chongkai Gao
Yizhou Jiang
F. Chen
45
8
0
28 Jan 2022
Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain
Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain
Yachen Kang
Jinxin Liu
Xin Cao
Donglin Wang
29
3
0
21 Oct 2021
Procedure Planning in Instructional Videos via Contextual Modeling and
  Model-based Policy Learning
Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning
Jing Bi
Jiebo Luo
Chenliang Xu
80
48
0
05 Oct 2021
IQ-Learn: Inverse soft-Q Learning for Imitation
IQ-Learn: Inverse soft-Q Learning for Imitation
Divyansh Garg
Shuvam Chakraborty
Chris Cundy
Jiaming Song
Matthieu Geist
Stefano Ermon
59
181
0
23 Jun 2021
Hard Choices in Artificial Intelligence
Hard Choices in Artificial Intelligence
Roel Dobbe
T. Gilbert
Yonatan Dov Mintz
29
53
0
10 Jun 2021
Meta-Adversarial Inverse Reinforcement Learning for Decision-making
  Tasks
Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks
Pin Wang
Hanhan Li
Ching-yao Chan
54
9
0
23 Mar 2021
Path Planning using Neural A* Search
Path Planning using Neural A* Search
Ryo Yonetani
Tatsunori Taniai
M. Barekatain
Mai Nishimura
Asako Kanezaki
3DPC
55
95
0
16 Sep 2020
SQUIRL: Robust and Efficient Learning from Video Demonstration of
  Long-Horizon Robotic Manipulation Tasks
SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks
Bohan Wu
Feng Xu
Zhanpeng He
Abhi Gupta
Peter K. Allen
OffRL
48
13
0
10 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
673
11,762
0
09 Mar 2017
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