IQ-Learn: Inverse soft-Q Learning for Imitation

23 June 2021

Papers citing "IQ-Learn: Inverse soft-Q Learning for Imitation"

50 / 134 papers shown

Title
Adversarial Imitation Learning via Boosting Jonathan D. Chang Dhruv Sreenivas Yingbing Huang Kianté Brantley Wen Sun 24 2 0 12 Apr 2024
Imitating Cost-Constrained Behaviors in Reinforcement Learning Qian Shao Pradeep Varakantham Shih-Fen Cheng 15 1 0 26 Mar 2024
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion Kuang-Da Wang Wei-Yao Wang Ping-Chun Hsieh Wenjie Peng OffRL 29 0 0 19 Mar 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 30 5 0 21 Feb 2024
SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning Huy Hoang Tien Mai Pradeep Varakantham OffRL 36 2 0 20 Feb 2024
Align Your Intents: Offline Imitation Learning via Optimal Transport Maksim Bobrin N. Buzun Dmitrii Krylov Dmitry V. Dylov OffRL 41 3 0 20 Feb 2024
Hybrid Inverse Reinforcement Learning Juntao Ren Gokul Swamy Zhiwei Steven Wu J. Andrew Bagnell Sanjiban Choudhury 34 18 0 13 Feb 2024
Learn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion over Diverse Terrains Feiyang Wu Xavier Nal Ye Zhao Anqi Wu Zhaoyuan Gu Anqi Wu Ye Zhao 32 0 0 09 Feb 2024
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences Chen Wang S. Erfani T. Alpcan Christopher Leckie OffRL 11 1 0 07 Feb 2024
The Virtues of Pessimism in Inverse Reinforcement Learning David Wu Gokul Swamy J. Andrew Bagnell Zhiwei Steven Wu Sanjiban Choudhury 19 0 0 04 Feb 2024
Accelerating Inverse Reinforcement Learning with Expert Bootstrapping David Wu Sanjiban Choudhury 9 0 0 04 Feb 2024
Inverse Reinforcement Learning by Estimating Expertise of Demonstrators M. Beliaev Ramtin Pedarsani 22 1 0 02 Feb 2024
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning Chia-Cheng Chiang Li-Cheng Lan Wei-Fang Sun Chien Feng Cho-Jui Hsieh Chun-Yi Lee 17 0 0 01 Feb 2024
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update Liyuan Mao Haoran Xu Weinan Zhang Xianyuan Zhan 14 10 0 01 Feb 2024
Context-Former: Stitching via Latent Conditioned Sequence Modeling Ziqi Zhang Jingzehua Xu Jinxin Liu Zifeng Zhuang Donglin Wang Miao Liu Shuai Zhang OffRL 40 4 0 29 Jan 2024
A Survey Analyzing Generalization in Deep Reinforcement Learning Ezgi Korkmaz OffRL 29 2 0 04 Jan 2024
SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution Zhixuan Liang Yao Mu Hengbo Ma Masayoshi Tomizuka Mingyu Ding Ping Luo 33 37 0 18 Dec 2023
Aligning Human Intent from Imperfect Demonstrations with Confidence-based Inverse soft-Q Learning Xizhou Bu Wenjuan Li Zhengxiong Liu Zhiqiang Ma Panfeng Huang 20 1 0 18 Dec 2023
Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning Huy Hoang Tien Mai Pradeep Varakantham 18 7 0 16 Dec 2023
DiffAIL: Diffusion Adversarial Imitation Learning Bingzheng Wang Guoqiang Wu Teng Pang Yan Zhang Yilong Yin 21 10 0 11 Dec 2023
Joint User Association, Interference Cancellation and Power Control for Multi-IRS Assisted UAV Communications Zhaolong Ning Hao Hu Xiaojie Wang Qingqing Wu Fellow Ieee Chau Yuen F. I. F. Richard Yu Fellow Ieee Yan Zhang 16 13 0 08 Dec 2023
Diffusion Model Alignment Using Direct Preference Optimization Bram Wallace Meihua Dang Rafael Rafailov Linqi Zhou Aaron Lou Senthil Purushwalkam Stefano Ermon Caiming Xiong Shafiq R. Joty Nikhil Naik EGVM 33 220 0 21 Nov 2023
A Novel Variational Lower Bound for Inverse Reinforcement Learning Yikang Gui Prashant Doshi 12 0 0 07 Nov 2023
LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion Firas Al-Hafez Guoping Zhao Jan Peters Davide Tateo 13 19 0 04 Nov 2023
SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning Harshit S. Sikchi Rohan Chitnis Ahmed Touati A. Geramifard Amy Zhang S. Niekum OffRL 28 6 0 03 Nov 2023
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching Kai Yan A. Schwing Yu-xiong Wang OffRL 16 0 0 02 Nov 2023
Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation Learning The Viet Bui Tien Mai Thanh Hong Nguyen 10 2 0 10 Oct 2023
Zero-Shot Transfer in Imitation Learning Alvaro Cauderan Gauthier Boeshertz Florian Schwarb Calvin Zhang OffRL OOD 17 0 0 10 Oct 2023
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments Xiong-Hui Chen Junyin Ye Hang Zhao Yi-Chen Li Haoran Shi ... Si-Hang Yang Anqi Huang Kai Xu Zongzhang Zhang Yang Yu 17 0 0 09 Oct 2023
$$\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis$ $\mathcal{B}$ -Coder: Value-Based Deep Reinforcement Learning for Program Synthesis Zishun Yu Yunzhe Tao Liyu Chen Tao Sun Hongxia Yang 24 7 0 04 Oct 2023
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning Chao Liu Zhaoyuan Gu Hanran Wu Deniz Irem Erus Ye Zhao 29 6 0 28 Sep 2023
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL Hao Sun Alihan Huyuk M. Schaar OffRL LRM 13 26 0 13 Sep 2023
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Competitive Games The Viet Bui Tien Mai T. Nguyen 9 1 0 20 Aug 2023
On Imitation in Mean-field Games Giorgia Ramponi Pavel Kolev Olivier Pietquin Niao He Mathieu Laurière M. Geist AI4CE 22 0 0 26 Jun 2023
CEIL: Generalized Contextual Imitation Learning Jinxin Liu Li He Yachen Kang Zifeng Zhuang Donglin Wang Huazhe Xu 20 18 0 26 Jun 2023
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning Jinxin Liu Lipeng Zu Li He Donglin Wang OffRL 33 8 0 23 Jun 2023
FP-IRL: Fokker-Planck-based Inverse Reinforcement Learning -- A Physics-Constrained Approach to Markov Decision Processes Chengyang Huang Siddharth Srivastava Xun Huan K. Garikipati 11 0 0 17 Jun 2023
Residual Q-Learning: Offline and Online Policy Customization without Value Chenran Li Chen Tang Haruki Nishimura Jean-Pierre Mercat M. Tomizuka Wei Zhan OffRL 25 6 0 15 Jun 2023
Curricular Subgoals for Inverse Reinforcement Learning Shunyu Liu Yunpeng Qing Shuqi Xu Hongyan Wu Jiangtao Zhang Jingyuan Cong Tianhao Chen Yunfu Liu Mingli Song 16 0 0 14 Jun 2023
Provably Efficient Adversarial Imitation Learning with Unknown Transitions Tian Xu Ziniu Li Yang Yu Zhimin Luo 13 8 0 11 Jun 2023
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking Chris Cundy Stefano Ermon 16 10 0 08 Jun 2023
PAGAR: Taming Reward Misalignment in Inverse Reinforcement Learning-Based Imitation Learning with Protagonist Antagonist Guided Adversarial Reward Weichao Zhou Wenchao Li 21 0 0 02 Jun 2023
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning Andreas Schlaginhaufen Maryam Kamgarpour 10 10 0 01 Jun 2023
Coherent Soft Imitation Learning Joe Watson Sandy H. Huang Nicholas Heess 30 11 0 25 May 2023
Inverse Preference Learning: Preference-based RL without a Reward Function Joey Hejna Dorsa Sadigh OffRL 19 48 0 24 May 2023
Utility-Probability Duality of Neural Networks Bojun Huang Fei Yuan UQCV 17 1 0 24 May 2023
Inverse Reinforcement Learning with the Average Reward Criterion Feiyang Wu Jingyang Ke Anqi Wu 16 9 0 24 May 2023
Massively Scalable Inverse Reinforcement Learning in Google Maps Matt Barnes Matthew Abueg Oliver F. Lange Matt Deeds Jason M. Trader Denali Molitor Markus Wulfmeier S. O’Banion 17 5 0 18 May 2023
Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs Dominik Straub M. Schultheis Heinz Koeppl Constantin Rothkopf 32 1 0 29 Mar 2023
Inverse Reinforcement Learning without Reinforcement Learning Gokul Swamy Sanjiban Choudhury J. Andrew Bagnell Zhiwei Steven Wu 16 33 0 26 Mar 2023