ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.06539
  4. Cited By
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement
  Learning

Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning

IEEE Robotics and Automation Letters (RA-L), 2022
17 January 2022
Keuntaek Lee
David Isele
Evangelos A. Theodorou
S. Bae
ArXiv (abs)PDFHTMLGithub

Papers citing "Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning"

11 / 11 papers shown
Model Predictive Adversarial Imitation Learning for Planning from Observation
Model Predictive Adversarial Imitation Learning for Planning from Observation
Tyler Han
Yanda Bao
Bhaumik Mehta
Gabriel Guo
Anubhav Vishwakarma
...
Sanghun Jung
Rosario Scalise
Jason Zhou
Bryan Xu
Byron Boots
185
2
0
29 Jul 2025
On the Effective Horizon of Inverse Reinforcement Learning
On the Effective Horizon of Inverse Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Yiqing Xu
Finale Doshi-Velez
David Hsu
407
1
0
21 Feb 2025
Learning Implicit Social Navigation Behavior using Deep Inverse Reinforcement Learning
Learning Implicit Social Navigation Behavior using Deep Inverse Reinforcement LearningIEEE Robotics and Automation Letters (IEEE RA-L), 2025
Tribhi Kathuria
Ke Liu
Junwoo Jang
X. J. Yang
Maani Ghaffari
287
6
0
12 Jan 2025
Learning Autonomous Docking Operation of Fully Actuated Autonomous
  Surface Vessel from Expert data
Learning Autonomous Docking Operation of Fully Actuated Autonomous Surface Vessel from Expert dataOceans (OCEANS), 2024
Akash Vijayakumar
Atmanand M A
Abhilash Somayajula
257
0
0
12 Nov 2024
Communication-Efficient Large-Scale Distributed Deep Learning: A
  Comprehensive Survey
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey
Feng Liang
Zhen Zhang
Haifeng Lu
Victor C. M. Leung
Yanyi Guo
Xiping Hu
GNN
386
27
0
09 Apr 2024
ARMCHAIR: integrated inverse reinforcement learning and model predictive
  control for human-robot collaboration
ARMCHAIR: integrated inverse reinforcement learning and model predictive control for human-robot collaboration
Angelo Caregnato-Neto
Luciano Cavalcante Siebert
Arkady Zgonnikov
Marcos Ricardo Omena de Albuquerque Máximo
R. J. Afonso
236
4
0
29 Feb 2024
Efficient and Interaction-Aware Trajectory Planning for Autonomous
  Vehicles with Particle Swarm Optimization
Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization
Lin Song
David Isele
N. Hovakimyan
Sangjae Bae
225
3
0
02 Feb 2024
Pixel State Value Network for Combined Prediction and Planning in
  Interactive Environments
Pixel State Value Network for Combined Prediction and Planning in Interactive Environments
Sascha Rosbach
Stefan M. Leupold
S. Großjohann
Stefan Roth
201
0
0
11 Oct 2023
Motion Planning for Autonomous Driving: The State of the Art and Future
  Perspectives
Motion Planning for Autonomous Driving: The State of the Art and Future PerspectivesIEEE Transactions on Intelligent Vehicles (TIV), 2023
Siyu Teng
Xuemin Hu
Peng Deng
Bai Li
Yuchen Li
...
Yunfeng Ai
Lingxi Li
Zhe Xuanyuan
F. Zhu
Long Chen
512
525
0
17 Mar 2023
Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for
  Off-Road Navigation
Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road NavigationIEEE International Conference on Robotics and Automation (ICRA), 2023
S. Triest
Mateo Guaman Castro
Parv Maheshwari
Matthew Sivaprakasam
Wenshan Wang
Sebastian Scherer
252
34
0
31 Jan 2023
Receding Horizon Inverse Reinforcement Learning
Receding Horizon Inverse Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Yiqing Xu
Wei Gao
David Hsu
290
14
0
09 Jun 2022
1
Page 1 of 1