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

ArXiv (abs)PDF HTML

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 Owen Howell Michael Potter Pau Closas A. Ramezani Deniz Erdogmus Tales Imbiriba 68 0 0 17 Apr 2025
A physics-informed Bayesian optimization method for rapid development of electrical machines Pedram Asef Christopher Vagg AI4CE 76 5 0 01 Mar 2025
Closing Speed Computation using Stereo Camera and Applications in Unsignalized T-Intersection Gautam Kumar Ashwini Ratnoo 44 0 0 31 Dec 2024
Learning Transparent Reward Models via Unsupervised Feature Selection Daulet Baimukashev G. Alcan K. Luck Ville Kyrki SSL OffRL 75 0 0 24 Oct 2024
Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning Ni Dang Tao Shi Zengjie Zhang Wanxin Jin M. Leibold M. Buss 30 2 0 23 Aug 2023
Towards Theoretical Understanding of Inverse Reinforcement Learning Alberto Maria Metelli Filippo Lazzati Marcello Restelli 80 14 0 25 Apr 2023
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 68 59 0 14 Dec 2021
Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models Ran Tian Liting Sun Andrea V. Bajcsy Masayoshi Tomizuka Anca Dragan 121 56 0 29 Sep 2021
OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching Hanako Hoshino Keita Ota Asako Kanezaki Rio Yokota OffRL OOD 63 19 0 09 Sep 2021
Inverse Reinforcement Learning Based Stochastic Driver Behavior Learning M. Ozkan Abishek Joseph Rocque Yao Ma 52 13 0 01 Jul 2021
Learning Dense Rewards for Contact-Rich Manipulation Tasks Zheng Wu Wenzhao Lian Vaibhav Unhelkar Masayoshi Tomizuka S. Schaal 138 37 0 17 Nov 2020
IDE-Net: Interactive Driving Event and Pattern Extraction from Human Data Xiaosong Jia Liting Sun Masayoshi Tomizuka Wei Zhan 83 27 0 04 Nov 2020
Quadratic Metric Elicitation for Fairness and Beyond Gaurush Hiranandani Jatin Mathur Harikrishna Narasimhan Oluwasanmi Koyejo 93 5 0 03 Nov 2020
Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning Zhiyu Huang Jingda Wu Chen Lv OffRL 113 152 0 07 Oct 2020