Risk-Conditioned Distributional Soft Actor-Critic for Risk-Sensitive Navigation

7 April 2021

Papers citing "Risk-Conditioned Distributional Soft Actor-Critic for Risk-Sensitive Navigation"

30 / 30 papers shown

Title
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning Daniel Flögel Marcos Gómez Villafane Joshua Ransiek Sören Hohmann 74 0 0 16 Sep 2024
Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction Haruki Nishimura Boris Ivanovic Adrien Gaidon Marco Pavone Mac Schwager 36 36 0 12 Sep 2020
Implicit Distributional Reinforcement Learning Yuguang Yue Zhendong Wang Mingyuan Zhou OffRL 36 16 0 13 Jul 2020
Improving Robustness via Risk Averse Distributional Reinforcement Learning Rahul Singh Qinsheng Zhang Yongxin Chen OOD 28 43 0 01 May 2020
Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning Danial Kamran Carlos Fernandez Lopez Martin Lauer Christoph Stiller 24 64 0 09 Apr 2020
Fully Parameterized Quantile Function for Distributional Reinforcement Learning Derek Yang Li Zhao Zichuan Lin Tao Qin Jiang Bian Tie-Yan Liu OOD OffRL 31 136 0 05 Nov 2019
Learning Resilient Behaviors for Navigation Under Uncertainty Tingxiang Fan Pinxin Long Wenxi Liu Jia Pan Ruigang Yang Tianyi Zhou 21 18 0 22 Oct 2019
Solving Rubik's Cube with a Robot Hand OpenAI Ilge Akkaya Marcin Andrychowicz Maciek Chociej Ma-teusz Litwin ... Peter Welinder Lilian Weng Qiming Yuan Wojciech Zaremba Lei Zhang ODL 53 1,215 0 16 Oct 2019
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping Cristian Bodnar A. Li Karol Hausman P. Pastor Mrinal Kalakrishnan OffRL 28 51 0 01 Oct 2019
Long-Term Robot Navigation in Indoor Environments Estimating Patterns in Traversability Changes L. Nardi C. Stachniss 6 20 0 27 Sep 2019
Bi-directional Value Learning for Risk-aware Planning Under Uncertainty: Extended Version Sung-Kyun Kim Rohan Thakker Ali-akbar Agha-mohammadi 14 34 0 15 Feb 2019
A Comparative Analysis of Expected and Distributional Reinforcement Learning Clare Lyle Pablo Samuel Castro Marc G. Bellemare OffRL 22 79 0 30 Jan 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 88 2,391 0 13 Dec 2018
Safe Reinforcement Learning with Model Uncertainty Estimates Björn Lütjens Michael Everett Jonathan P. How 22 166 0 19 Oct 2018
Learning Navigation Behaviors End-to-End with AutoRL H. Chiang Aleksandra Faust Marek Fiser Anthony G. Francis 79 235 0 26 Sep 2018
Implicit Quantile Networks for Distributional Reinforcement Learning Will Dabney Georg Ostrovski David Silver Rémi Munos OffRL 49 529 0 14 Jun 2018
Distributed Distributional Deterministic Policy Gradients Gabriel Barth-Maron Matthew W. Hoffman David Budden Will Dabney Dan Horgan TB Dhruva Alistair Muldal N. Heess Timothy Lillicrap OffRL 68 477 0 23 Apr 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 89 1,584 0 05 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 148 8,236 0 04 Jan 2018
How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics Anirudha Majumdar Marco Pavone 35 194 0 30 Oct 2017
Distributional Reinforcement Learning with Quantile Regression Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos 61 753 0 27 Oct 2017
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning Aleksandra Faust Oscar Ramirez Marek Fiser Kenneth Oslund Anthony G. Francis James Davidson Lydia Tapia 45 289 0 11 Oct 2017
Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning Pinxin Long Tingxiang Fan X. Liao Wenxi Liu Huatian Zhang Jia Pan OOD 39 456 0 28 Sep 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 57 1,497 0 21 Jul 2017
Provably Safe Robot Navigation with Obstacle Uncertainty Brian Axelrod L. Kaelbling Tomás Lozano-Pérez 23 58 0 31 May 2017
Socially Aware Motion Planning with Deep Reinforcement Learning Yu Fan Chen Michael Everett Miao Liu Jonathan P. How 63 679 0 26 Mar 2017
Deep Exploration via Bootstrapped DQN Ian Osband Charles Blundell Alexander Pritzel Benjamin Van Roy 38 1,302 0 15 Feb 2016
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 91 317 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 344 9,233 0 06 Jun 2015
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 57 6,748 0 03 Sep 2014