Model-Free Imitation Learning with Policy Optimization

26 May 2016

Papers citing "Model-Free Imitation Learning with Policy Optimization"

33 / 33 papers shown

Title
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic Stefano Viel Luca Viano V. Cevher 90 0 0 27 Feb 2025
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving Dongkun Zhang Jiaming Liang Ke Guo Sha Lu Qi Wang R. Xiong Zhenwei Miao Yue Wang 68 1 0 27 Feb 2025
Conditional Latent ODEs for Motion Prediction in Autonomous Driving Khang Truong Giang Yongjae Kim Andrea Finazzi BDL 32 1 0 29 May 2024
Imitation Learning in Discounted Linear MDPs without exploration assumptions Luca Viano Stratis Skoulakis V. Cevher 30 3 0 03 May 2024
Inverse Decision Modeling: Learning Interpretable Representations of Behavior Daniel Jarrett Alihan Huyuk M. Schaar AI4CE 22 27 0 28 Oct 2023
Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning Jing Zhang Chi Zhang Wenjia Wang Bing-Yi Jing OffRL 35 7 0 28 Jan 2023
Profitable Strategy Design by Using Deep Reinforcement Learning for Trades on Cryptocurrency Markets Mohsen Asgari S. H. Khasteh 19 5 0 15 Jan 2022
Stochastic convex optimization for provably efficient apprenticeship learning Angeliki Kamoutsi G. Banjac John Lygeros 16 1 0 31 Dec 2021
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations Angeliki Kamoutsi G. Banjac John Lygeros OffRL 28 7 0 28 Dec 2021
Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning Jing Bi Jiebo Luo Chenliang Xu 76 48 0 05 Oct 2021
Implicit Behavioral Cloning Peter R. Florence Corey Lynch Andy Zeng Oscar Ramirez Ayzaan Wahid Laura Downs Adrian S. Wong Johnny Lee Igor Mordatch Jonathan Tompson OffRL 74 369 0 01 Sep 2021
Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior Md Sultan al Nahian Spencer Frazier Brent Harrison Mark O. Riedl 27 18 0 19 Apr 2021
Online Apprenticeship Learning Lior Shani Tom Zahavy Shie Mannor OffRL 26 25 0 13 Feb 2021
POPO: Pessimistic Offline Policy Optimization Qiang He Xinwen Hou OffRL 35 10 0 26 Dec 2020
Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation Liyiming Ke Jingqiang Wang T. Bhattacharjee Byron Boots S. Srinivasa 11 42 0 13 Nov 2020
Weak Human Preference Supervision For Deep Reinforcement Learning Zehong Cao Kaichiu Wong Chin-Teng Lin 16 5 0 25 Jul 2020
Self-Supervised Reinforcement Learning for Recommender Systems Xin Xin Alexandros Karatzoglou Ioannis Arapakis J. Jose SSL OffRL 32 198 0 10 Jun 2020
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning Xinyue Chen Zijian Zhou Zhilin Wang Che Wang Yanqiu Wu Keith Ross OffRL 33 121 0 27 Oct 2019
Model-based Behavioral Cloning with Future Image Similarity Learning Alan Wu A. Piergiovanni Michael S. Ryoo OffRL 31 14 0 08 Oct 2019
Hindsight Trust Region Policy Optimization Hanbo Zhang Site Bai Xuguang Lan David Hsu Nanning Zheng 38 8 0 29 Jul 2019
Deep Local Trajectory Replanning and Control for Robot Navigation Ashwini Pokle Roberto Martín-Martín P. Goebel Vincent Chow H. Ewald ... Zhenkai Wang Amir Sadeghian Dorsa Sadigh Silvio Savarese Marynel Vázquez 27 62 0 13 May 2019
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System Xinshi Chen Shuang Li Hui Li Shaohua Jiang Yuan Qi Le Song 22 206 0 27 Dec 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 48 826 0 16 Nov 2018
Pretraining Deep Actor-Critic Reinforcement Learning Algorithms With Expert Demonstrations Xiaoqin Zhang Huimin Ma OffRL 35 38 0 31 Jan 2018
Paraphrase Generation with Deep Reinforcement Learning Zichao Li Xin Jiang Lifeng Shang Hang Li OffRL 18 213 0 01 Nov 2017
Safety-Aware Apprenticeship Learning Weichao Zhou Wenchao Li 36 34 0 22 Oct 2017
Visual Forecasting by Imitating Dynamics in Natural Sequences Kuo-Hao Zeng Bokui (William) Shen De-An Huang Min Sun Juan Carlos Niebles AI4TS 33 61 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
Simultaneous Policy Learning and Latent State Inference for Imitating Driver Behavior Jeremy Morton Mykel J. Kochenderfer 29 36 0 19 Apr 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
Imitating Driver Behavior with Generative Adversarial Networks Alex Kuefler Jeremy Morton T. Wheeler Mykel Kochenderfer GAN 32 405 0 24 Jan 2017
Generalizing Skills with Semi-Supervised Reinforcement Learning Chelsea Finn Tianhe Yu Justin Fu Pieter Abbeel Sergey Levine OffRL SSL 35 68 0 01 Dec 2016
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models Chelsea Finn Paul Christiano Pieter Abbeel Sergey Levine OffRL AI4CE GAN 30 350 0 11 Nov 2016