Data-driven Planning via Imitation Learning

17 November 2017

Papers citing "Data-driven Planning via Imitation Learning"

50 / 53 papers shown

Title
A Unifying Framework for Causal Imitation Learning with Hidden Confounders Daqian Shao Thomas Kleine Buening Marta Z. Kwiatkowska CML 88 1 0 11 Feb 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yue Yang Xiao Lin Zhipeng Zhao SSL 133 10 0 28 Jan 2025
Hypothesis Clustering and Merging: Novel MultiTalker Speech Recognition with Speaker Tokens Yosuke Kashiwagi Hayato Futami E. Tsunoo Siddhant Arora Shinji Watanabe 70 1 0 24 Sep 2024
Reinforcement learning Florentin Wörgötter 82 2,544 0 16 May 2024
Learning Sampling Distributions for Robot Motion Planning Brian Ichter James Harrison Marco Pavone 37 352 0 16 Sep 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 120 2,805 0 19 Aug 2017
Learning Heuristic Search via Imitation M. Bhardwaj Sanjiban Choudhury Sebastian Scherer 57 82 0 10 Jul 2017
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs Sanjiban Choudhury Shervin Javdani S. Srinivasa Sebastian Scherer 59 16 0 28 Jun 2017
Adaptive Information Gathering via Imitation Learning Sanjiban Choudhury Ashish Kapoor G. Ranade Sebastian Scherer Debadeepta Dey 53 22 0 22 May 2017
QMDP-Net: Deep Learning for Planning under Partial Observability Peter Karkus David Hsu Wee Sun Lee PINN 90 156 0 20 Mar 2017
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction Wen Sun Arun Venkatraman Geoffrey J. Gordon Byron Boots J. Andrew Bagnell 118 235 0 03 Mar 2017
Cognitive Mapping and Planning for Visual Navigation Saurabh Gupta Varun Tolani James Davidson Sergey Levine Rahul Sukthankar Jitendra Malik 78 713 0 13 Feb 2017
Learning to Gather Information via Imitation Sanjiban Choudhury Ashish Kapoor G. Ranade Debadeepta Dey 99 29 0 13 Nov 2016
Learning from the Hindsight Plan -- Episodic MPC Improvement Aviv Tamar G. Thomas Tianhao Zhang Sergey Levine Pieter Abbeel 109 66 0 28 Sep 2016
DESPOT: Online POMDP Planning with Regularization N. Ye A. Somani David Hsu Wee Sun Lee 80 508 0 12 Sep 2016
Learning to Rank for Synthesizing Planning Heuristics Caelan Reed Garrett L. Kaelbling Tomas Lozano-Perez 48 40 0 03 Aug 2016
Kinodynamic Motion Planning: A Novel Type Of Nonlinear, Passive Damping Forces And Advantages A. Masoud 22 294 0 29 Jun 2016
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 270 1,331 0 05 Jun 2016
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests Yuxin Chen Seyed Hamed Hassani Andreas Krause 36 23 0 24 May 2016
Theano: A Python framework for fast computation of mathematical expressions The Theano Development Team Rami Al-Rfou Guillaume Alain Amjad Almahairi Christof Angermüller ... Kelvin Xu Lijun Xue Li Yao Saizheng Zhang Ying Zhang 174 2,339 0 09 May 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 76 1,693 0 22 Apr 2016
The CMA Evolution Strategy: A Tutorial N. Hansen 64 1,372 0 04 Apr 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 247 11,145 0 14 Mar 2016
A Unifying Formalism for Shortest Path Problems with Expensive Edge Evaluations via Lazy Best-First Search over Paths with Edge Selectors Christopher M. Dellin S. Srinivasa 33 71 0 10 Mar 2016
PLATO: Policy Learning using Adaptive Trajectory Optimization G. Kahn Tianhao Zhang Sergey Levine Pieter Abbeel 51 137 0 02 Mar 2016
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization Chelsea Finn Sergey Levine Pieter Abbeel 108 946 0 01 Mar 2016
POMDP-lite for Robust Robot Planning under Uncertainty Min Chen Emilio Frazzoli David Hsu Wee Sun Lee 80 64 0 16 Feb 2016
Sequence Level Training with Recurrent Neural Networks MarcÁurelio Ranzato S. Chopra Michael Auli Wojciech Zaremba 98 1,614 0 20 Nov 2015
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,749 0 20 Nov 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 210 3,787 0 18 Nov 2015
Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search Tianhao Zhang G. Kahn Sergey Levine Pieter Abbeel 70 427 0 22 Sep 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 156 7,623 0 22 Sep 2015
Deep Recurrent Q-Learning for Partially Observable MDPs Matthew J. Hausknecht Peter Stone 104 1,677 0 23 Jul 2015
Shared Autonomy via Hindsight Optimization Shervin Javdani S. Srinivasa J. Andrew Bagnell 52 195 0 26 Mar 2015
Learning to Search Better Than Your Teacher Kai-Wei Chang A. Krishnamurthy Alekh Agarwal Hal Daumé John Langford OffRL 42 231 0 08 Feb 2015
Reinforcement and Imitation Learning via Interactive No-Regret Learning Stéphane Ross J. Andrew Bagnell OffRL 126 264 0 23 Jun 2014
Near Optimal Bayesian Active Learning for Decision Making Shervin Javdani Yuxin Chen Amin Karbasi Andreas Krause J. Andrew Bagnell S. Srinivasa 238 57 0 24 Feb 2014
Correlated Orienteering Problem and it Application to Persistent Monitoring Tasks Jingjin Yu Mac Schwager Daniela Rus 54 78 0 08 Feb 2014
Online Planning Algorithms for POMDPs Stéphane Ross Joelle Pineau Sébastien Paquet B. Chaib-draa 82 585 0 15 Jan 2014
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints Rishabh K. Iyer J. Bilmes 78 259 0 08 Nov 2013
Approximate Planning for Factored POMDPs using Belief State Simplification David A. McAllester Satinder Singh 62 95 0 23 Jan 2013
PEGASUS: A Policy Search Method for Large MDPs and POMDPs A. Ng Michael I. Jordan 102 496 0 16 Jan 2013
Efficient Touch Based Localization through Submodularity Shervin Javdani Matthew Klingensmith Drew Bagnell N. S. Pollard S. Srinivasa 76 75 0 30 Aug 2012
Point-Based POMDP Algorithms: Improved Analysis and Implementation Trey Smith R. Simmons 61 423 0 04 Jul 2012
Perseus: Randomized Point-based Value Iteration for POMDPs M. Spaan N. Vlassis 102 767 0 09 Sep 2011
Active Classification: Theory and Application to Underwater Inspection Geoffrey A. Hollinger U. Mitra Gaurav Sukhatme 107 57 0 29 Jun 2011
The FF Planning System: Fast Plan Generation Through Heuristic Search Jörg Hoffmann Bernhard Nebel 79 2,354 0 03 Jun 2011
Sampling-based Algorithms for Optimal Motion Planning S. Karaman Emilio Frazzoli 94 4,675 0 05 May 2011
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 200 3,211 0 02 Nov 2010
Near-Optimal Bayesian Active Learning with Noisy Observations Daniel Golovin Andreas Krause Debajyoti Ray 100 206 0 15 Oct 2010