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Model-Based Inverse Reinforcement Learning from Visual Demonstrations

Model-Based Inverse Reinforcement Learning from Visual Demonstrations

18 October 2020
Neha Das
Sarah Bechtle
Todor Davchev
Dinesh Jayaraman
Akshara Rai
Franziska Meier
ArXivPDFHTML

Papers citing "Model-Based Inverse Reinforcement Learning from Visual Demonstrations"

17 / 17 papers shown
Title
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning
Shangzhe Li
Zhiao Huang
Hao Su
66
0
0
04 May 2025
Chain-of-Modality: Learning Manipulation Programs from Multimodal Human Videos with Vision-Language-Models
Chain-of-Modality: Learning Manipulation Programs from Multimodal Human Videos with Vision-Language-Models
Chen Wang
Fei Xia
Wenhao Yu
Tingnan Zhang
Ruohan Zhang
Ce Liu
Li Fei-Fei
Jie Tan
Jacky Liang
33
0
0
17 Apr 2025
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles
Sorin Grigorescu
Mihai V. Zaha
AI4CE
36
0
0
02 Apr 2025
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications
Sinan Ibrahim
Mostafa Mostafa
Ali Jnadi
Hadi Salloum
Pavel Osinenko
OffRL
49
12
0
31 Dec 2024
Reward-free World Models for Online Imitation Learning
Reward-free World Models for Online Imitation Learning
Shangzhe Li
Zhiao Huang
H. Su
OffRL
67
1
0
17 Oct 2024
Embodiment-Agnostic Action Planning via Object-Part Scene Flow
Embodiment-Agnostic Action Planning via Object-Part Scene Flow
Weiliang Tang
Jia-Hui Pan
Wei Zhan
Jianshu Zhou
Huaxiu Yao
Yun-Hui Liu
M. Tomizuka
Mingyu Ding
Chi-Wing Fu
50
0
0
16 Sep 2024
Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic
  Rewards via Failure Prompts
Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts
Yanting Yang
Minghao Chen
Qibo Qiu
Jiahao Wu
Wenxiao Wang
Binbin Lin
Ziyu Guan
Xiaofei He
LM&Ro
42
2
0
20 Jul 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
31
8
0
28 Mar 2023
Cross-Domain Transfer via Semantic Skill Imitation
Cross-Domain Transfer via Semantic Skill Imitation
Karl Pertsch
Ruta Desai
Vikash Kumar
Franziska Meier
Joseph J. Lim
Dhruv Batra
Akshara Rai
LM&Ro
8
18
0
14 Dec 2022
Learning Reward Functions for Robotic Manipulation by Observing Humans
Learning Reward Functions for Robotic Manipulation by Observing Humans
Minttu Alakuijala
Gabriel Dulac-Arnold
Julien Mairal
Jean Ponce
Cordelia Schmid
OffRL
37
26
0
16 Nov 2022
Learning Object Manipulation Skills from Video via Approximate
  Differentiable Physics
Learning Object Manipulation Skills from Video via Approximate Differentiable Physics
Vladimir Petrik
M. N. Qureshi
Josef Sivic
Makarand Tapaswi
35
9
0
03 Aug 2022
Masked World Models for Visual Control
Masked World Models for Visual Control
Younggyo Seo
Danijar Hafner
Hao Liu
Fangchen Liu
Stephen James
Kimin Lee
Pieter Abbeel
OffRL
84
146
0
28 Jun 2022
A Differentiable Recipe for Learning Visual Non-Prehensile Planar
  Manipulation
A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation
Bernardo Aceituno-Cabezas
Alberto Rodriguez
Shubham Tulsiani
Abhinav Gupta
Mustafa Mukadam
19
4
0
09 Nov 2021
Visual Adversarial Imitation Learning using Variational Models
Visual Adversarial Imitation Learning using Variational Models
Rafael Rafailov
Tianhe Yu
Aravind Rajeswaran
Chelsea Finn
SSL
28
49
0
16 Jul 2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human
  Videos
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos
Annie S. Chen
Suraj Nair
Chelsea Finn
30
137
0
31 Mar 2021
Learning from Sparse Demonstrations
Learning from Sparse Demonstrations
Wanxin Jin
Todd D. Murphey
Dana Kulić
Neta Ezer
Shaoshuai Mou
13
35
0
05 Aug 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
338
11,684
0
09 Mar 2017
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