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Using High-Level Patterns to Estimate How Humans Predict a Robot will Behave

20 September 2024

Papers citing "Using High-Level Patterns to Estimate How Humans Predict a Robot will Behave"

20 / 20 papers shown

Title
Finite Scalar Quantization: VQ-VAE Made Simple Fabian Mentzer David C. Minnen E. Agustsson Michael Tschannen 94 183 0 27 Sep 2023
Epistemic Prediction and Planning with Implicit Coordination for Multi-Robot Teams in Communication Restricted Environments Lauren Bramblett Shijie Gao Nicola Bezzo 57 7 0 21 Feb 2023
Learning Latent Representations to Co-Adapt to Humans Sagar Parekh Dylan P. Losey 63 12 0 19 Dec 2022
Learning Representations that Enable Generalization in Assistive Tasks Jerry Zhi-Yang He Aditi Raghunathan Daniel S. Brown Zackory M. Erickson Anca Dragan OOD 71 20 0 05 Dec 2022
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization Yuhta Takida Takashi Shibuya Wei-Hsiang Liao Chieh-Hsin Lai Junki Ohmura Toshimitsu Uesaka Naoki Murata Shusuke Takahashi Toshiyuki Kumakura Yuki Mitsufuji BDL 50 66 0 16 May 2022
Emergence of Theory of Mind Collaboration in Multiagent Systems Luyao Yuan Zipeng Fu Linqi Zhou Kexin Yang Song-Chun Zhu 66 10 0 30 Sep 2021
Demonstration-Guided Reinforcement Learning with Learned Skills Karl Pertsch Youngwoon Lee Yue Wu Joseph J. Lim OffRL 67 84 0 21 Jul 2021
Learning Latent Representations to Influence Multi-Agent Interaction Annie Xie Dylan P. Losey R. Tolsma Chelsea Finn Dorsa Sadigh DRL 174 132 0 12 Nov 2020
I Know What You Meant: Learning Human Objectives by (Under)estimating Their Choice Set Ananth Jonnavittula Dylan P. Losey 52 16 0 11 Nov 2020
Accelerating Reinforcement Learning with Learned Skill Priors Karl Pertsch Youngwoon Lee Joseph J. Lim OffRL OnRL 100 239 0 22 Oct 2020
Improving Multi-Agent Cooperation using Theory of Mind Terence X. Lim Sidney Tio Desmond C. Ong LLMAG 63 12 0 30 Jul 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 64 62 0 16 Jun 2020
Shared Autonomy with Learned Latent Actions Hong Jun Jeon Dylan P. Losey Dorsa Sadigh 69 79 0 07 May 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 434 10,591 0 17 Feb 2020
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps Wei Zhan Liting Sun Di Wang Haojie Shi Aubrey Clausse ... Julius Kümmerle Hendrik Königshof Christoph Stiller A. de La Fortelle Masayoshi Tomizuka 3DV 49 470 0 30 Sep 2019
Building Second-Order Mental Models for Human-Robot Interaction Connor Brooks D. Szafir 34 22 0 14 Sep 2019
Machine Theory of Mind Neil C. Rabinowitz Frank Perbet H. F. Song Chiyuan Zhang S. M. Ali Eslami M. Botvinick AI4CE 124 475 0 21 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 311 8,352 0 04 Jan 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 226 5,019 0 02 Nov 2017
Shared Autonomy via Hindsight Optimization for Teleoperation and Teaming Shervin Javdani H. Admoni Stefania Pellegrinelli S. Srinivasa J. Andrew Bagnell 96 210 0 01 Jun 2017