When to Localize? A Risk-Constrained Reinforcement Learning Approach

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When to Localize? A Risk-Constrained Reinforcement Learning Approach

5 November 2024

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Papers citing "When to Localize? A Risk-Constrained Reinforcement Learning Approach"

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Title
When to Localize? A POMDP Approach Troi Williams Kasra Torshizi Pratap Tokekar 74 1 0 13 Nov 2024
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis Rui Liu Erfaun Noorani Pratap Tokekar John S. Baras 100 1 0 13 Mar 2024
Pred-NBV: Prediction-guided Next-Best-View for 3D Object Reconstruction Harnaik Dhami V. Sharma Pratap Tokekar 3DPC 51 19 0 22 Apr 2023
Where Am I Now? Dynamically Finding Optimal Sensor States to Minimize Localization Uncertainty for a Perception-Denied Rover Troi Williams Po-Lun Chen Sparsh Bhogavilli Vaibhav Sanjay Pratap Tokekar 77 2 0 30 Nov 2022
A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers Julio A. Placed Jared Strader Henry Carrillo Nikolay Atanasov Vadim Indelman Luca Carlone J. A. Castellanos 109 189 0 01 Jul 2022
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs Tianwei Ni Benjamin Eysenbach Ruslan Salakhutdinov 69 110 0 11 Oct 2021
Safe Reinforcement Learning with Linear Function Approximation Sanae Amani Christos Thrampoulidis Lin F. Yang 62 36 0 11 Jun 2021
Memory-based Deep Reinforcement Learning for POMDPs Lingheng Meng R. Gorbet Dana Kulic 89 99 0 24 Feb 2021
Where to Map? Iterative Rover-Copter Path Planning for Mars Exploration Takahiro Sasaki K. Otsu Rohan Thakker S. Haesaert Ali-akbar Agha-mohammadi 57 31 0 17 Aug 2020
AirCapRL: Autonomous Aerial Human Motion Capture using Deep Reinforcement Learning Rahul Tallamraju Nitin Saini Elia Bonetto Michael Pabst Y. Liu Michael J. Black Aamir Ahmad 68 28 0 13 Jul 2020
Perception-aware Autonomous Mast Motion Planning for Planetary Exploration Rovers Jared Strader K. Otsu Ali-akbar Agha-mohammadi 96 30 0 14 Dec 2019
Safe Policies for Reinforcement Learning via Primal-Dual Methods Santiago Paternain Miguel Calvo-Fullana Luiz F. O. Chamon Alejandro Ribeiro 65 105 0 20 Nov 2019
Convergent Policy Optimization for Safe Reinforcement Learning Ming Yu Zhuoran Yang Mladen Kolar Zhaoran Wang 84 95 0 26 Oct 2019
Evolving Rewards to Automate Reinforcement Learning Aleksandra Faust Anthony G. Francis Dar Mehta 71 51 0 18 May 2019
Deep Active Localization S. Gottipati K. Seo Dhaivat Bhatt Vincent Mai Krishna Murthy Jatavallabhula Liam Paull 76 38 0 05 Mar 2019
Accelerated Primal-Dual Policy Optimization for Safe Reinforcement Learning Qingkai Liang Fanyu Que E. Modiano 78 102 0 19 Feb 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 553 19,296 0 20 Jul 2017
Revisiting Active Perception R. Bajcsy Yiannis Aloimonos John K. Tsotsos 72 309 0 08 Mar 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 210 8,881 0 04 Feb 2016