Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning
with Application to Autonomous Driving

Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving

22 June 2020

Wei Zhan

Masayoshi Tomizuka

Papers citing "Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving"

14 / 14 papers shown

Title
Recursive Deep Inverse Reinforcement Learning Paul Ghanem Michael Potter Owen Howell Pau Closas A. Ramezani Deniz Erdogmus Tales Imbiriba 34 0 0 17 Apr 2025
Learning Transparent Reward Models via Unsupervised Feature Selection Daulet Baimukashev G. Alcan K. Luck Ville Kyrki SSL OffRL 46 0 0 24 Oct 2024
Blending Data-Driven Priors in Dynamic Games Justin Lidard Haimin Hu Asher Hancock Zixu Zhang Albert Gimó Contreras ... Deepak Gopinath Guy Rosman Naomi Ehrich Leonard María Santos J. F. Fisac OffRL 48 5 0 21 Feb 2024
Active Inverse Learning in Stackelberg Trajectory Games Yue Yu Jacob Levy Negar Mehr David Fridovich-Keil Ufuk Topcu 32 2 0 15 Aug 2023
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions Vibha Bharilya Neetesh Kumar 36 47 0 12 Jul 2023
Towards Theoretical Understanding of Inverse Reinforcement Learning Alberto Maria Metelli Filippo Lazzati Marcello Restelli 34 13 0 25 Apr 2023
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 39 13 0 15 Feb 2023
Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search Karl Kurzer M. Bitzer J. Marius Zöllner 16 6 0 14 Feb 2022
Interaction-Aware Trajectory Prediction and Planning for Autonomous Vehicles in Forced Merge Scenarios Kaiwen Liu Nan I. Li H. E. Tseng Ilya Kolmanovsky Anouck Girard 28 54 0 14 Dec 2021
How To Not Drive: Learning Driving Constraints from Demonstration K. Rezaee Peyman Yadmellat 31 3 0 01 Oct 2021
Inverse Reinforcement Learning Based Stochastic Driver Behavior Learning M. Ozkan Abishek Joseph Rocque Yao Ma 27 13 0 01 Jul 2021
Learning Dense Rewards for Contact-Rich Manipulation Tasks Zheng Wu Wenzhao Lian Vaibhav Unhelkar Masayoshi Tomizuka S. Schaal 8 37 0 17 Nov 2020
Quadratic Metric Elicitation for Fairness and Beyond Gaurush Hiranandani Jatin Mathur Harikrishna Narasimhan Oluwasanmi Koyejo 27 5 0 03 Nov 2020
Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning Zhiyu Huang Jingda Wu Chen Lv OffRL 33 145 0 07 Oct 2020