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Maximum Entropy Deep Inverse Reinforcement Learning

Maximum Entropy Deep Inverse Reinforcement Learning

17 July 2015
Markus Wulfmeier
Peter Ondruska
Ingmar Posner
    OOD
ArXivPDFHTML

Papers citing "Maximum Entropy Deep Inverse Reinforcement Learning"

50 / 100 papers shown
Title
BiasBench: A reproducible benchmark for tuning the biases of event cameras
BiasBench: A reproducible benchmark for tuning the biases of event cameras
Andreas Ziegler
David Joseph
Thomas Gossard
Emil Moldovan
A. Zell
34
0
0
25 Apr 2025
Recursive Deep Inverse Reinforcement Learning
Recursive Deep Inverse Reinforcement Learning
Paul Ghanem
Michael Potter
Owen Howell
Pau Closas
A. Ramezani
Deniz Erdogmus
Tales Imbiriba
32
0
0
17 Apr 2025
On the Effective Horizon of Inverse Reinforcement Learning
On the Effective Horizon of Inverse Reinforcement Learning
Yiqing Xu
Finale Doshi-Velez
David Hsu
51
0
0
21 Feb 2025
Behavioral Homophily in Social Media via Inverse Reinforcement Learning: A Reddit Case Study
Behavioral Homophily in Social Media via Inverse Reinforcement Learning: A Reddit Case Study
Lanqin Yuan
Philipp J. Schneider
Marian-Andrei Rizoiu
58
0
0
05 Feb 2025
OMG-RL:Offline Model-based Guided Reward Learning for Heparin Treatment
OMG-RL:Offline Model-based Guided Reward Learning for Heparin Treatment
Yooseok Lim
Sujee Lee
OffRL
152
0
0
03 Jan 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
52
14
0
31 Dec 2024
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
Xingrui Yu
Zhenglin Wan
David Mark Bossens
Yueming Lyu
Qing Guo
Ivor W. Tsang
218
0
0
11 Nov 2024
On-Robot Reinforcement Learning with Goal-Contrastive Rewards
On-Robot Reinforcement Learning with Goal-Contrastive Rewards
Ondrej Biza
Thomas Weng
Lingfeng Sun
Karl Schmeckpeper
Tarik Kelestemur
Yecheng Jason Ma
Robert Platt
Jan-Willem van de Meent
Lawson L. S. Wong
OffRL
49
0
0
25 Oct 2024
Learning Causally Invariant Reward Functions from Diverse Demonstrations
Learning Causally Invariant Reward Functions from Diverse Demonstrations
Ivan Ovinnikov
Eugene Bykovets
J. M. Buhmann
CML
40
0
0
12 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
45
2
0
20 Jul 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
46
1
0
20 May 2024
Enhancing Q-Learning with Large Language Model Heuristics
Enhancing Q-Learning with Large Language Model Heuristics
Xiefeng Wu
LRM
32
0
0
06 May 2024
S$^2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor
  Critic
S2^22AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic
Safa Messaoud
Billel Mokeddem
Zhenghai Xue
Linsey Pang
Bo An
Haipeng Chen
Sanjay Chawla
46
3
0
02 May 2024
Towards learning-based planning:The nuPlan benchmark for real-world
  autonomous driving
Towards learning-based planning:The nuPlan benchmark for real-world autonomous driving
Napat Karnchanachari
Dimitris Geromichalos
Kok Seang Tan
Nanxiang Li
Christopher Eriksen
...
N. Mehdipour
Gianmarco Bernasconi
Whye Kit Fong
Yiluan Guo
Holger Caesar
44
31
0
07 Mar 2024
Bayesian Constraint Inference from User Demonstrations Based on
  Margin-Respecting Preference Models
Bayesian Constraint Inference from User Demonstrations Based on Margin-Respecting Preference Models
Dimitris Papadimitriou
Daniel S. Brown
50
1
0
04 Mar 2024
RoadRunner - Learning Traversability Estimation for Autonomous Off-road
  Driving
RoadRunner - Learning Traversability Estimation for Autonomous Off-road Driving
Jonas Frey
Shehryar Khattak
Manthan Patel
Deegan Atha
Julian Nubert
Curtis Padgett
Marco Hutter
Patrick Spieler
51
25
0
29 Feb 2024
Discovering Mathematical Formulas from Data via GPT-guided Monte Carlo
  Tree Search
Discovering Mathematical Formulas from Data via GPT-guided Monte Carlo Tree Search
Yanjie Li
Weijun Li
Lina Yu
Min Wu
Jingyi Liu
Wenqiang Li
Meilan Hao
Shu Wei
Yusong Deng
48
9
0
24 Jan 2024
Inverse Decision Modeling: Learning Interpretable Representations of
  Behavior
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
Daniel Jarrett
Alihan Huyuk
M. Schaar
AI4CE
22
27
0
28 Oct 2023
Learning Reward for Physical Skills using Large Language Model
Learning Reward for Physical Skills using Large Language Model
Yuwei Zeng
Yiqing Xu
36
6
0
21 Oct 2023
STERLING: Self-Supervised Terrain Representation Learning from
  Unconstrained Robot Experience
STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience
Haresh Karnan
Elvin Yang
Daniel Farkash
Garrett A. Warnell
Joydeep Biswas
Peter Stone
SSL
38
26
0
26 Sep 2023
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous
  Manipulation
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation
Zheyuan Hu
Aaron Rovinsky
Jianlan Luo
Vikash Kumar
Abhishek Gupta
Sergey Levine
OffRL
27
9
0
06 Sep 2023
Active Inverse Learning in Stackelberg Trajectory Games
Active Inverse Learning in Stackelberg Trajectory Games
Yue Yu
Jacob Levy
Negar Mehr
David Fridovich-Keil
Ufuk Topcu
29
2
0
15 Aug 2023
Rating-based Reinforcement Learning
Rating-based Reinforcement Learning
Devin White
Mingkang Wu
Ellen R. Novoseller
Vernon J. Lawhern
Nicholas R. Waytowich
Yongcan Cao
ALM
19
6
0
30 Jul 2023
Analyzing the Strategy of Propaganda using Inverse Reinforcement
  Learning: Evidence from the 2022 Russian Invasion of Ukraine
Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine
Dominique Geissler
Stefan Feuerriegel
30
3
0
24 Jul 2023
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A
  comprehensive survey, Challenges, and Future Research Directions
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions
Vibha Bharilya
Neetesh Kumar
33
47
0
12 Jul 2023
Joint Path planning and Power Allocation of a Cellular-Connected UAV
  using Apprenticeship Learning via Deep Inverse Reinforcement Learning
Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning
Alireza Shamsoshoara
Fatemeh Lotfi
Sajad Mousavi
Fatemeh Afghah
Ismail Güvenç
44
10
0
15 Jun 2023
Coherent Soft Imitation Learning
Coherent Soft Imitation Learning
Joe Watson
Sandy H. Huang
Nicholas Heess
36
11
0
25 May 2023
Discovering Individual Rewards in Collective Behavior through Inverse
  Multi-Agent Reinforcement Learning
Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning
Daniel Waelchli
Pascal Weber
Petros Koumoutsakos
AI4CE
27
4
0
17 May 2023
Learning Rational Subgoals from Demonstrations and Instructions
Learning Rational Subgoals from Demonstrations and Instructions
Zhezheng Luo
Jiayuan Mao
Jiajun Wu
Tomás Lozano-Pérez
J. Tenenbaum
L. Kaelbling
44
5
0
09 Mar 2023
When Demonstrations Meet Generative World Models: A Maximum Likelihood
  Framework for Offline Inverse Reinforcement Learning
When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning
Siliang Zeng
Chenliang Li
Alfredo García
Min-Fong Hong
OffRL
34
13
0
15 Feb 2023
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
Chao Yu
Jiaxuan Gao
Weiling Liu
Bo Xu
Hao Tang
Jiaqi Yang
Yu Wang
Yi Wu
31
39
0
03 Feb 2023
PAC-Bayesian Soft Actor-Critic Learning
PAC-Bayesian Soft Actor-Critic Learning
Bahareh Tasdighi
Abdullah Akgul
Manuel Haussmann
Kenny Kazimirzak Brink
M. Kandemir
34
3
0
30 Jan 2023
Data-Driven Inverse Reinforcement Learning for Expert-Learner Zero-Sum
  Games
Data-Driven Inverse Reinforcement Learning for Expert-Learner Zero-Sum Games
Wenqian Xue
Bosen Lian
Jialu Fan
Tianyou Chai
F. Lewis
OffRL
18
1
0
05 Jan 2023
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep
  Guidance
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance
Kelvin Xu
Zheyuan Hu
Ria Doshi
Aaron Rovinsky
Vikash Kumar
Abhishek Gupta
Sergey Levine
32
19
0
19 Dec 2022
On the Sensitivity of Reward Inference to Misspecified Human Models
On the Sensitivity of Reward Inference to Misspecified Human Models
Joey Hong
Kush S. Bhatia
Anca Dragan
24
24
0
09 Dec 2022
End-to-End Stochastic Optimization with Energy-Based Model
End-to-End Stochastic Optimization with Energy-Based Model
Lingkai Kong
Jiaming Cui
Yuchen Zhuang
Rui Feng
B. Prakash
Chao Zhang
24
16
0
25 Nov 2022
Evaluating the Perceived Safety of Urban City via Maximum Entropy Deep
  Inverse Reinforcement Learning
Evaluating the Perceived Safety of Urban City via Maximum Entropy Deep Inverse Reinforcement Learning
Yaxuan Wang
Zhixin Zeng
Qijun Zhao
18
0
0
19 Nov 2022
Learning Social Navigation from Demonstrations with Conditional Neural
  Processes
Learning Social Navigation from Demonstrations with Conditional Neural Processes
Yigit Yildirim
Emre Ugur
27
8
0
07 Oct 2022
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
Siliang Zeng
Chenliang Li
Alfredo García
Min-Fong Hong
37
42
0
04 Oct 2022
SoLo T-DIRL: Socially-Aware Dynamic Local Planner based on
  Trajectory-Ranked Deep Inverse Reinforcement Learning
SoLo T-DIRL: Socially-Aware Dynamic Local Planner based on Trajectory-Ranked Deep Inverse Reinforcement Learning
Yifan Xu
Theodor Chakhachiro
Tribhi Kathuria
Maani Ghaffari
34
2
0
16 Sep 2022
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
24
5
0
09 Aug 2022
Energy-based Legged Robots Terrain Traversability Modeling via Deep
  Inverse Reinforcement Learning
Energy-based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement Learning
Lu Gan
J. Grizzle
Ryan Eustice
Maani Ghaffari
32
28
0
07 Jul 2022
Lifelong Inverse Reinforcement Learning
Lifelong Inverse Reinforcement Learning
Jorge Armando Mendez Mendez
S. Shivkumar
Eric Eaton
OffRL
CLL
29
17
0
01 Jul 2022
Receding Horizon Inverse Reinforcement Learning
Receding Horizon Inverse Reinforcement Learning
Yiqing Xu
Wei Gao
David Hsu
24
14
0
09 Jun 2022
Efficient Reinforcement Learning from Demonstration Using Local Ensemble
  and Reparameterization with Split and Merge of Expert Policies
Efficient Reinforcement Learning from Demonstration Using Local Ensemble and Reparameterization with Split and Merge of Expert Policies
Yu Wang
Fang Liu
29
0
0
23 May 2022
Learning Dense Reward with Temporal Variant Self-Supervision
Learning Dense Reward with Temporal Variant Self-Supervision
Yuning Wu
Jieliang Luo
Hui Li
SSL
21
0
0
20 May 2022
A Survey of Traversability Estimation for Mobile Robots
A Survey of Traversability Estimation for Mobile Robots
Christos Sevastopoulos
S. Konstantopoulos
46
34
0
22 Apr 2022
X-MEN: Guaranteed XOR-Maximum Entropy Constrained Inverse Reinforcement
  Learning
X-MEN: Guaranteed XOR-Maximum Entropy Constrained Inverse Reinforcement Learning
Fan Ding
Yeiang Xue
6
7
0
22 Mar 2022
A Primer on Maximum Causal Entropy Inverse Reinforcement Learning
A Primer on Maximum Causal Entropy Inverse Reinforcement Learning
Adam Gleave
Sam Toyer
29
13
0
22 Mar 2022
Learning Reward Models for Cooperative Trajectory Planning with Inverse
  Reinforcement Learning and Monte Carlo Tree Search
Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search
Karl Kurzer
M. Bitzer
J. Marius Zöllner
6
6
0
14 Feb 2022
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