Situationally-Aware Dynamics Learning

26 May 2025

Papers citing "Situationally-Aware Dynamics Learning"

47 / 47 papers shown

Title
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 110 10 0 28 Jan 2025
AFlow: Automating Agentic Workflow Generation Jiayi Zhang Jinyu Xiang Zhaoyang Yu Fengwei Teng Xionghui Chen ... Jinlin Wang Bingnan Zheng Bang Liu Yuyu Luo Chenglin Wu AIFin AI4CE 53 4 0 14 Oct 2024
Fast Extrinsic Calibration for Multiple Inertial Measurement Units in Visual-Inertial System Youwei Yu Yanqing Liu Fengjie Fu Sihan He Dongchen Zhu Lei Wang Xiaolin Zhang Jiamao Li 38 4 0 24 Sep 2024
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes Kyle Stachowicz Sergey Levine 27 7 0 07 May 2024
Traversability-aware Adaptive Optimization for Path Planning and Control in Mountainous Terrain Se-Wook Yoo E. Son Seung-Woo Seo 31 2 0 04 Apr 2024
Gaussian Process-based Traversability Analysis for Terrain Mapless Navigation Abe Leininger Mahmoud Ali Hassan Jardali Lantao Liu 37 7 0 27 Mar 2024
Boundary-Aware Value Function Generation for Safe Stochastic Motion Planning Junhong Xu Kai-Li Yin Jason M. Gregory Kris Hauser Lantao Liu 42 2 0 22 Mar 2024
Autonomous Mapless Navigation on Uneven Terrains Hassan Jardali Mahmoud Ali Lantao Liu 27 5 0 21 Feb 2024
Rapid Motor Adaptation for Robotic Manipulator Arms Yichao Liang Kevin Ellis Joao Henriques 40 5 0 07 Dec 2023
TD-MPC2: Scalable, Robust World Models for Continuous Control Nicklas Hansen Hao Su Xiaolong Wang MU 76 141 0 25 Oct 2023
MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation Patrick E. Lancaster Nicklas Hansen Aravind Rajeswaran Vikash Kumar LM&Ro 48 15 0 25 Sep 2023
RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation Lakshay Sharma Michael Everett Donggun Lee Xiaoyi Cai Philip R. Osteen Jonathan P. How 25 12 0 12 Oct 2022
Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments Xiaoyi Cai Michael Everett Lakshay Sharma Philip R. Osteen Jonathan P. How 41 38 0 01 Oct 2022
Learning Efficient Abstract Planning Models that Choose What to Predict Nishanth Kumar Willie McClinton Rohan Chitnis Tom Silver Tomás Lozano-Pérez L. Kaelbling 48 21 0 16 Aug 2022
Physics Embedded Neural Network Vehicle Model and Applications in Risk-Aware Autonomous Driving Using Latent Features Taekyung Kim Ho-Woon Lee Wonsuk Lee 15 18 0 16 Jul 2022
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning Jan Achterhold Markus Krimmel Joerg Stueckler 53 10 0 11 Jul 2022
Causal Dynamics Learning for Task-Independent State Abstraction Zizhao Wang Xuesu Xiao Zifan Xu Yuke Zhu Peter Stone CML 44 53 0 27 Jun 2022
Learning Neuro-Symbolic Skills for Bilevel Planning Tom Silver Ashay Athalye J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 53 64 0 21 Jun 2022
Adapting Rapid Motor Adaptation for Bipedal Robots Ashish Kumar Zhongyu Li Jun Zeng Deepak Pathak Koushil Sreenath Jitendra Malik 103 67 0 30 May 2022
Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map Xiaoyi Cai Michael Everett Jonathan R. Fink Jonathan P. How 36 51 0 25 Mar 2022
Talk-to-Resolve: Combining scene understanding and spatial dialogue to resolve granular task ambiguity for a collocated robot Pradip Pramanick Chayan Sarkar Snehasis Banerjee Brojeshwar Bhowmick 29 15 0 22 Nov 2021
Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains Junhong Xu Kai-Li Yin Zheng Chen Jason M. Gregory Ethan Stump Lantao Liu 52 3 0 16 Nov 2021
Self-Reflective Terrain-Aware Robot Adaptation for Consistent Off-Road Ground Navigation S. Siva Maggie B. Wigness J. Rogers Long Quang Hao Zhang TTA 35 6 0 12 Nov 2021
RMA: Rapid Motor Adaptation for Legged Robots Ashish Kumar Zipeng Fu Deepak Pathak Jitendra Malik 110 564 0 08 Jul 2021
Latent Representation in Human-Robot Interaction with Explicit Consideration of Periodic Dynamics Taisuke Kobayashi Shingo Murata T. Inamura DRL 14 7 0 16 Jun 2021
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning Luis Pineda Brandon Amos Amy Zhang Nathan Lambert Roberto Calandra OffRL 50 47 0 20 Apr 2021
RL for Latent MDPs: Regret Guarantees and a Lower Bound Jeongyeol Kwon Yonathan Efroni Constantine Caramanis Shie Mannor 33 78 0 09 Feb 2021
Learning Quadrupedal Locomotion over Challenging Terrain Joonho Lee Jemin Hwangbo Lorenz Wellhausen V. Koltun Marco Hutter 67 1,154 0 21 Oct 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee Younggyo Seo Seunghyun Lee Honglak Lee Jinwoo Shin 80 125 0 14 May 2020
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning Archit Sharma Michael Ahn Sergey Levine Vikash Kumar Karol Hausman S. Gu SSL OffRL 28 47 0 27 Apr 2020
Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials Christian F. Perez F. Such Theofanis Karaletsos 22 36 0 08 Feb 2020
Planning for the Unexpected: Explicitly Optimizing Motions for Ground Uncertainty in Running Kevin R. Green Ross L. Hatton J. Hurst 11 17 0 28 Jan 2020
Learning Latent State Spaces for Planning through Reward Prediction Aaron J. Havens Ouyang Yi P. Nagarajan Yasuhiro Fujita 19 7 0 09 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 101 42,038 0 03 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 81 1,333 0 03 Dec 2019
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 118 1,263 0 30 May 2018
World Models David R Ha Jürgen Schmidhuber SyDa 84 1,050 0 27 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 130 5,121 0 26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 170 8,236 0 04 Jan 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 183 18,685 0 20 Jul 2017
Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes Taylor W. Killian Samuel Daulton George Konidaris Finale Doshi-Velez 78 106 0 20 Jun 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 65 5,920 0 04 Mar 2017
Self-Correcting Models for Model-Based Reinforcement Learning Erik Talvitie LRM 55 94 0 19 Dec 2016
Changepoint Detection in the Presence of Outliers Paul Fearnhead G. Rigaill 28 140 0 23 Sep 2016
Contextual Markov Decision Processes Assaf Hallak Dotan Di Castro Shie Mannor 46 243 0 08 Feb 2015
Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations Finale Doshi-Velez George Konidaris 117 129 0 15 Aug 2013
Bayesian Online Changepoint Detection Ryan P. Adams D. MacKay 130 768 0 19 Oct 2007