Maximum Entropy Deep Inverse Reinforcement Learning

17 July 2015

Markus Wulfmeier

Papers citing "Maximum Entropy Deep Inverse Reinforcement Learning"

50 / 101 papers shown

Title
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning Keuntaek Lee David Isele Evangelos A. Theodorou S. Bae 37 24 0 17 Jan 2022
Inferring perceptual decision making parameters from behavior in production and reproduction tasks Nils Neupärtl Constantin Rothkopf 27 1 0 31 Dec 2021
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework Kritika Prakash Fiza Husain P. Paruchuri Sujit Gujar OffRL 31 11 0 10 Dec 2021
Dueling RL: Reinforcement Learning with Trajectory Preferences Aldo Pacchiano Aadirupa Saha Jonathan Lee 38 82 0 08 Nov 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu Suraj Nair Li Fei-Fei Chelsea Finn OffRL LM&Ro 50 24 0 21 Sep 2021
Balancing Performance and Human Autonomy with Implicit Guidance Agent Ryo Nakahashi Seiji Yamada 27 4 0 01 Sep 2021
LEO: Learning Energy-based Models in Factor Graph Optimization Paloma Sodhi Eric Dexheimer Mustafa Mukadam Stuart Anderson Michael Kaess 45 16 0 04 Aug 2021
The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior Bassam Helou Aditya Dusi Anne-Sophie Collin N. Mehdipour Zhiliang Chen Cristhian G. Lizarazo C. Belta Tichakorn Wongpiromsarn R. D. Tebbens Oscar Beijbom 29 21 0 28 Jul 2021
Deep Adaptive Multi-Intention Inverse Reinforcement Learning Ariyan Bighashdel Panagiotis Meletis P. Jancura Gijs Dubbelman 25 7 0 14 Jul 2021
Objective-aware Traffic Simulation via Inverse Reinforcement Learning Guanjie Zheng Hanyang Liu Kai Xu Z. Li 29 11 0 20 May 2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos Annie S. Chen Suraj Nair Chelsea Finn 38 137 0 31 Mar 2021
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification Benjamin Eysenbach Sergey Levine Ruslan Salakhutdinov OffRL 39 50 0 23 Mar 2021
Inverse Reinforcement Learning with Explicit Policy Estimates Navyata Sanghvi Shinnosuke Usami Mohit Sharma J. Groeger Kris Kitani CML 31 6 0 04 Mar 2021
End-to-end Interpretable Neural Motion Planner Wenyuan Zeng Wenjie Luo Simon Suo Abbas Sadat Binh Yang Sergio Casas R. Urtasun 3DV 25 402 0 17 Jan 2021
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning Georgios Th. Papadopoulos M. Antona C. Stephanidis AI4CE 25 24 0 15 Dec 2020
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization Sreejith Balakrishnan Q. Nguyen Bryan Kian Hsiang Low Harold Soh 22 26 0 17 Nov 2020
f-IRL: Inverse Reinforcement Learning via State Marginal Matching Tianwei Ni Harshit S. Sikchi Yufei Wang Tejus Gupta Lisa Lee Benjamin Eysenbach 13 72 0 09 Nov 2020
Online Observer-Based Inverse Reinforcement Learning Ryan Self Kevin Coleman H. Bai R. Kamalapurkar OffRL 24 19 0 03 Nov 2020
Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples Zhe Xu Bo Wu Aditya Ojha Daniel Neider Ufuk Topcu OffRL 25 30 0 28 Jun 2020
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning Zhibo Yang Lihan Huang Yupei Chen Zijun Wei Seoyoung Ahn G. Zelinsky Dimitris Samaras Minh Hoai 25 96 0 28 May 2020
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets Cong Fei Bin Wang Yuzheng Zhuang Zongzhang Zhang Jianye Hao Hongbo Zhang Xuewu Ji Wulong Liu 33 26 0 19 May 2020
Language Conditioned Imitation Learning over Unstructured Data Corey Lynch P. Sermanet LM&Ro 40 243 0 15 May 2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement Avi Singh Eric Jang A. Irpan Daniel Kappler Murtaza Dalal Sergey Levine Mohi Khansari Chelsea Finn 53 35 0 25 Feb 2020
Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans Nachiket Deo Mohan M. Trivedi 24 150 0 03 Jan 2020
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation Letian Chen Rohan R. Paleja Muyleng Ghuy Matthew C. Gombolay 27 38 0 02 Jan 2020
Generalized Maximum Causal Entropy for Inverse Reinforcement Learning Tien Mai K. Chan Patrick Jaillet CML 24 4 0 16 Nov 2019
Model-based Behavioral Cloning with Future Image Similarity Learning Alan Wu A. Piergiovanni Michael S. Ryoo OffRL 34 14 0 08 Oct 2019
Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning Zeyu Zhu Nan Li Ruoyu Sun Huijing Zhao Donghao Xu 29 32 0 16 Sep 2019
Joint Inference of Reward Machines and Policies for Reinforcement Learning Zhe Xu I. Gavran Yousef Ahmad R. Majumdar Daniel Neider Ufuk Topcu Bo Wu 30 92 0 12 Sep 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 41 356 0 06 Jul 2019
Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model Akira Kinose T. Taniguchi 35 20 0 03 Jul 2019
Demonstration-Guided Deep Reinforcement Learning of Control Policies for Dexterous Human-Robot Interaction Sammy Christen Stefan Stevšić Otmar Hilliges 35 24 0 27 Jun 2019
Interactive Teaching Algorithms for Inverse Reinforcement Learning Parameswaran Kamalaruban R. Devidze V. Cevher Adish Singla 19 64 0 28 May 2019
SA-Net: Deep Neural Network for Robot Trajectory Recognition from RGB-D Streams Nihal Soans Ehsan Asali Yi Hong Prashant Doshi 33 2 0 10 May 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering Avi Singh Larry Yang Kristian Hartikainen Chelsea Finn Sergey Levine SSL OffRL 46 266 0 16 Apr 2019
Inverse Optimal Planning for Air Traffic Control Ekaterina V. Tolstaya Alejandro Ribeiro Vijay Kumar Ashish Kapoor 14 4 0 25 Mar 2019
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing Ryosuke Furuta Naoto Inoue T. Yamasaki 27 52 0 10 Nov 2018
Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach Jun Jin Laura Petrich Masood Dehghan Zichen Zhang Martin Jägersand 36 13 0 29 Sep 2018
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress Saurabh Arora Prashant Doshi OffRL 37 598 0 18 Jun 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 29 66 0 31 May 2018
Maximum Causal Tsallis Entropy Imitation Learning Kyungjae Lee Sungjoon Choi Songhwai Oh OOD 29 20 0 22 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 33 662 0 02 May 2018
Learning Deep Mean Field Games for Modeling Large Population Behavior Jiachen Yang X. Ye Rakshit S. Trivedi Huan Xu H. Zha AI4CE 30 33 0 08 Nov 2017
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 53 740 0 30 Oct 2017
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces Garrett A. Warnell Nicholas R. Waytowich Vernon J. Lawhern Peter Stone 13 267 0 28 Sep 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 65 2,780 0 19 Aug 2017
Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning Daniel S. Brown S. Niekum BDL OffRL 22 42 0 03 Jul 2017
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization Chelsea Finn Sergey Levine Pieter Abbeel 40 943 0 01 Mar 2016
Inverse Reinforcement Learning via Deep Gaussian Process Ming Jin Andreas C. Damianou Pieter Abbeel C. Spanos OffRL BDL GP 29 22 0 26 Dec 2015
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 189 2,946 0 15 Dec 2014