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Publication search results
found 405 matches
- 2021
- Saurabh Arora, Prashant Doshi, Bikramjit Banerjee:
I2RL: online inverse reinforcement learning under occlusion. Auton. Agents Multi Agent Syst. 35(1): 4 (2021) - Ryan Self
, Kevin Coleman, He Bai
, Rushikesh Kamalapurkar
:
Online Observer-Based Inverse Reinforcement Learning. IEEE Control. Syst. Lett. 5(6): 1922-1927 (2021) - Chanyoung Jung
, David Hyunchul Shim
:
Incorporating Multi-Context Into the Traversability Map for Urban Autonomous Driving Using Deep Inverse Reinforcement Learning. IEEE Robotics Autom. Lett. 6(2): 1662-1669 (2021) - Jiankai Sun
, Lantao Yu, Pinqian Dong, Bo Lu
, Bolei Zhou
:
Adversarial Inverse Reinforcement Learning With Self-Attention Dynamics Model. IEEE Robotics Autom. Lett. 6(2): 1880-1886 (2021) - Xiang Zhang
, Liting Sun
, Zhian Kuang
, Masayoshi Tomizuka
:
Learning Variable Impedance Control via Inverse Reinforcement Learning for Force-Related Tasks. IEEE Robotics Autom. Lett. 6(2): 2225-2232 (2021) - Tharindu Fernando
, Simon Denman
, Sridha Sridharan
, Clinton Fookes
:
Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion. IEEE Signal Process. Mag. 38(1): 87-96 (2021) - Tianyu Wang, Vikas Dhiman, Nikolay Atanasov:
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning. CoRR abs/2101.00186 (2021) - Mingqi Yuan, Man-On Pun, Yi Chen, Qi Cao:
Hybrid Adversarial Inverse Reinforcement Learning. CoRR abs/2102.02454 (2021) - Alex J. Chan, Mihaela van der Schaar:
Scalable Bayesian Inverse Reinforcement Learning. CoRR abs/2102.06483 (2021) - Xiang Zhang, Liting Sun, Zhian Kuang, Masayoshi Tomizuka:
Learning Variable Impedance Control via Inverse Reinforcement Learning for Force-Related Tasks. CoRR abs/2102.06838 (2021) - Takuma Oda:
Equilibrium Inverse Reinforcement Learning for Ride-hailing Vehicle Network. CoRR abs/2102.06854 (2021) - Gregory Dexter, Kevin Bello, Jean Honorio:
Inverse Reinforcement Learning in the Continuous Setting with Formal Guarantees. CoRR abs/2102.07937 (2021) - Angelos Filos, Clare Lyle, Yarin Gal, Sergey Levine, Natasha Jaques, Gregory Farquhar:
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning. CoRR abs/2102.12560 (2021) - Navyata Sanghvi, Shinnosuke Usami, Mohit Sharma, Joachim Groeger, Kris Kitani:
Inverse Reinforcement Learning with Explicit Policy Estimates. CoRR abs/2103.02863 (2021) - Manohar Vohra, George S. D. Gordon:
Markov Cricket: Using Forward and Inverse Reinforcement Learning to Model, Predict And Optimize Batting Performance in One-Day International Cricket. CoRR abs/2103.04349 (2021) - Abi Komanduru, Jean Honorio:
A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning. CoRR abs/2103.04446 (2021) - Tianyu Wang, Nikolay Atanasov:
Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata. CoRR abs/2103.05895 (2021) - Pin Wang, Hanhan Li, Ching-Yao Chan:
Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks. CoRR abs/2103.12694 (2021) - Samuel Tesfazgi, Armin Lederer, Sandra Hirche:
Inverse Reinforcement Learning a Control Lyapunov Approach. CoRR abs/2104.04483 (2021) - 2020
- Yunxiu Zeng
, Kai Xu
, Long Qin
, Quanjun Yin
:
A Semi-Markov Decision Model With Inverse Reinforcement Learning for Recognizing the Destination of a Maneuvering Agent in Real Time Strategy Games. IEEE Access 8: 15392-15409 (2020) - Shiying Sun, Xiaoguang Zhao, Qianzhong Li, Min Tan:
Inverse reinforcement learning-based time-dependent A* planner for human-aware robot navigation with local vision. Adv. Robotics 34(13): 888-901 (2020) - Nematollah Ab Azar, Aref Shahmansoorian, Mohsen Davoudi:
From inverse optimal control to inverse reinforcement learning: A historical review. Annu. Rev. Control. 50: 119-138 (2020) - Alberto Maria Metelli, Matteo Pirotta, Marcello Restelli:
On the use of the policy gradient and Hessian in inverse reinforcement learning. Intelligenza Artificiale 14(1): 117-150 (2020) - Dooseop Choi, Kyoungwook Min, Jeongdan Choi:
Regularising neural networks for future trajectory prediction via inverse reinforcement learning framework. IET Comput. Vis. 14(5): 192-200 (2020) - Shuo Xie, Xiumin Chu, Mao Zheng, Chenguang Liu:
A composite learning method for multi-ship collision avoidance based on reinforcement learning and inverse control. Neurocomputing 411: 375-392 (2020) - Kun Li
, Joel W. Burdick:
Human motion analysis in medical robotics via high-dimensional inverse reinforcement learning. Int. J. Robotics Res. 39(5) (2020) - Jin-Ling Lin, Kao-Shing Hwang, Haobin Shi, Wei Pan:
An ensemble method for inverse reinforcement learning. Inf. Sci. 512: 518-532 (2020) - Tao Zhang, Ying Liu, Maxwell Hwang, Kao-Shing Hwang, Chunyan Ma, Jing Cheng:
An end-to-end inverse reinforcement learning by a boosting approach with relative entropy. Inf. Sci. 520: 1-14 (2020) - Rupam Bhattacharyya, S. M. Hazarika:
A knowledge-driven layered inverse reinforcement learning approach for recognizing human intents. J. Exp. Theor. Artif. Intell. 32(6): 1015-1044 (2020) - William Hoiles, Vikram Krishnamurthy, Kunal Pattanayak:
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior. J. Mach. Learn. Res. 21: 170:1-170:39 (2020)
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