Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction

3 March 2017

Papers citing "Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction"

50 / 56 papers shown

Title
Diffusing States and Matching Scores: A New Framework for Imitation Learning Runzhe Wu Yiding Chen Gokul Swamy Kianté Brantley Wen Sun DiffM 50 3 0 17 Oct 2024
Control-oriented Clustering of Visual Latent Representation Han Qi Haocheng Yin Heng Yang SSL 63 2 0 07 Oct 2024
Data Efficient Behavior Cloning for Fine Manipulation via Continuity-based Corrective Labels Abhay Deshpande Liyiming Ke Quinn Pfeifer Abhishek Gupta S. Srinivasa 47 1 0 29 May 2024
Accelerating Inverse Reinforcement Learning with Expert Bootstrapping David Wu Sanjiban Choudhury 26 0 0 04 Feb 2024
Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms Yichen Li Chicheng Zhang OffRL 40 0 0 28 Dec 2023
RLIF: Interactive Imitation Learning as Reinforcement Learning Jianlan Luo Perry Dong Yuexiang Zhai Yi Ma Sergey Levine OffRL 33 14 0 21 Nov 2023
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning Alihan Huyuk Daniel Jarrett M. Schaar 16 21 0 28 Oct 2023
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning Liyiming Ke Yunchu Zhang Abhay Deshpande S. Srinivasa Abhishek Gupta OffRL 27 12 0 19 Oct 2023
Active Policy Improvement from Multiple Black-box Oracles Xuefeng Liu Takuma Yoneda Chaoqi Wang Matthew R. Walter Yuxin Chen 45 9 0 17 Jun 2023
Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations Keisuke Fujii Kazushi Tsutsui Atom Scott Hiroshi Nakahara Naoya Takeishi Yoshinobu Kawahara 29 6 0 22 May 2023
Chain-of-Thought Predictive Control Zhiwei Jia Vineet Thumuluri Fangchen Liu Ling-Hao Chen Zhiao Huang H. Su LM&Ro 41 20 0 03 Apr 2023
Guarded Policy Optimization with Imperfect Online Demonstrations Zhenghai Xue Zhenghao Peng Quanyi Li Zhihan Liu Bolei Zhou OffRL 51 10 0 03 Mar 2023
CILP: Co-simulation based Imitation Learner for Dynamic Resource Provisioning in Cloud Computing Environments Shreshth Tuli G. Casale N. Jennings 32 8 0 11 Feb 2023
Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination A. Mohtasib Gerhard Neumann Heriberto Cuayáhuitl OffRL 44 2 0 31 Jul 2022
Improved Policy Optimization for Online Imitation Learning J. Lavington Sharan Vaswani Mark Schmidt OffRL 25 6 0 29 Jul 2022
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction Chia-Chi Chuang Donglin Yang Chuan Wen Yang Gao SSL 23 12 0 20 Jul 2022
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation P. Amortila Nan Jiang Dhruv Madeka Dean Phillips Foster 29 5 0 18 Jul 2022
Hindsight Learning for MDPs with Exogenous Inputs Sean R. Sinclair Felipe Vieira Frujeri Ching-An Cheng Luke Marshall Hugo Barbalho Jingling Li Jennifer Neville Ishai Menache Adith Swaminathan 18 23 0 13 Jul 2022
Generalizing to New Tasks via One-Shot Compositional Subgoals Xihan Bian Oscar Alejandro Mendez Maldonado Simon Hadfield CLL OffRL 37 1 0 16 May 2022
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming Supriyo Ghosh L. Wynter Shiau Hong Lim D. Nguyen 34 0 0 27 Feb 2022
Adversarially Trained Actor Critic for Offline Reinforcement Learning Ching-An Cheng Tengyang Xie Nan Jiang Alekh Agarwal OffRL 16 127 0 05 Feb 2022
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients Oliver Scheel Luca Bergamini Maciej Wołczyk Bla.zej Osiñski Peter Ondruska 37 104 0 27 Sep 2021
Heuristic-Guided Reinforcement Learning Ching-An Cheng Andrey Kolobov Adith Swaminathan OffRL 37 61 0 05 Jun 2021
Social NCE: Contrastive Learning of Socially-aware Motion Representations Yuejiang Liu Qi Yan Alexandre Alahi 34 101 0 21 Dec 2020
Learning Dexterous Manipulation from Suboptimal Experts Rae Jeong Jost Tobias Springenberg Jackie Kay Daniel Zheng Yuxiang Zhou Alexandre Galashov N. Heess F. Nori OffRL 18 36 0 16 Oct 2020
Reparameterized Variational Divergence Minimization for Stable Imitation Dilip Arumugam Debadeepta Dey Alekh Agarwal Asli Celikyilmaz E. Nouri W. Dolan 33 3 0 18 Jun 2020
An Energy-Aware Online Learning Framework for Resource Management in Heterogeneous Platforms Sumit K. Mandal Ganapati Bhat J. Doppa P. Pande Ümit Y. Ogras 14 39 0 20 Mar 2020
Exploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control Ke Lin Liang Gong Xudong Li Te Sun Binhao Chen Chengliang Liu Zhengfeng Zhang Jian Pu Junping Zhang 24 8 0 27 Feb 2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement Avi Singh Eric Jang A. Irpan Daniel Kappler Murtaza Dalal Sergey Levine Mohi Khansari Chelsea Finn 53 35 0 25 Feb 2020
Learning to Multi-Task Learn for Better Neural Machine Translation Poorya Zaremoodi Gholamreza Haffari 29 3 0 10 Jan 2020
Learning by Cheating Dian Chen Brady Zhou V. Koltun Philipp Krahenbuhl SSL 47 504 0 27 Dec 2019
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization Qiaoyun Wu Kai Xu Jun Wang Mingliang Xu Xiaoxi Gong Tianyi Zhou 19 30 0 09 Dec 2019
Accelerating Reinforcement Learning with Suboptimal Guidance Eivind Bøhn Signe Moe T. Johansen OnRL 21 0 0 21 Nov 2019
Learning from Trajectories via Subgoal Discovery S. Paul J. Baar Amit K. Roy-Chowdhury 86 47 0 03 Nov 2019
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
Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning? S. Du Sham Kakade Ruosong Wang Lin F. Yang 41 192 0 07 Oct 2019
On-Policy Robot Imitation Learning from a Converging Supervisor Ashwin Balakrishna Brijen Thananjeyan Jonathan Lee Felix Li Arsh Zahed Joseph E. Gonzalez Ken Goldberg 30 17 0 08 Jul 2019
Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model Akira Kinose T. Taniguchi 35 20 0 03 Jul 2019
Co-training for Policy Learning Jialin Song Ravi Lanka Yisong Yue M. Ono OffRL 18 19 0 03 Jul 2019
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems Andrew J. Taylor Victor D. Dorobantu Hoang Minh Le Yisong Yue Aaron D. Ames 117 78 0 04 Mar 2019
Online Learning with Continuous Variations: Dynamic Regret and Reductions Ching-An Cheng Jonathan Lee Ken Goldberg Byron Boots 34 16 0 19 Feb 2019
Active Deep Q-learning with Demonstration Si-An Chen Voot Tangkaratt Hsuan-Tien Lin Masashi Sugiyama 18 32 0 06 Dec 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 48 830 0 16 Nov 2018
Learning Neural Parsers with Deterministic Differentiable Imitation Learning Tanmay Shankar Nicholas Rhinehart Katharina Muelling Kris Kitani 24 1 0 20 Jun 2018
Accelerating Imitation Learning with Predictive Models Ching-An Cheng Xinyan Yan Evangelos A. Theodorou Byron Boots 32 21 0 12 Jun 2018
Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning Wen Sun J. Andrew Bagnell Byron Boots 28 93 0 29 May 2018
Dual Policy Iteration Wen Sun Geoffrey J. Gordon Byron Boots J. Andrew Bagnell OffRL 18 56 0 28 May 2018
Fast Policy Learning through Imitation and Reinforcement Ching-An Cheng Xinyan Yan Nolan Wagener Byron Boots 26 83 0 26 May 2018
Hierarchical Imitation and Reinforcement Learning Hoang Minh Le Nan Jiang Alekh Agarwal Miroslav Dudík Yisong Yue Hal Daumé 24 190 0 01 Mar 2018
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration E. Liu Kelvin Guu Panupong Pasupat Tianlin Shi Percy Liang OnRL 24 207 0 24 Feb 2018