Papers
2,121 papers found
Learning Operational Space Control
J. Peters, S. Schaal
CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching
Fabio Ramos, Dieter Fox, and Hugh Durrant-Whyte
Efficiently finding optimal winding-constrained loops in the plane
Paul Vernaza, Venkatraman Narayanan, Maxim Likhachev
A Control Framework for Tactile Servoing
Qiang Li, Carsten Schürmann, Robert Haschke et al.
Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent
Fabio Ramos, Lionel Ott
Grounding English Commands to Reward Functions
James MacGlashan, Monica Babes-Vroman, Marie desJardins et al.
Simplifying Reward Design through Divide-and-Conquer
Ellis Ratner, Dylan Hadfield-Menell, Anca Dragan
Conditional Neural Movement Primitives
Muhammet Yunus Seker, Mert Imre, Justus Piater et al.
Language Conditioned Imitation Learning Over Unstructured Data
Corey Lynch, Pierre Sermanet
CCIL: Context-conditioned imitation learning for urban driving
Ke Guo, Wei Jing, Junbo Chen et al.
Dynamic On-Palm Manipulation via Controlled Sliding
William Yang, Michael Posa
Demonstrating Language-Grounded Motion Controller
Ravi Tejwani, Chengyuan Ma, Paco Gomez-Paz et al.
Building Rome with Convex Optimization
Haoyu Han, Heng Yang
Learning Humanoid Standing-up Control across Diverse Postures
Tao Huang, Junli Ren, Huayi Wang et al.
FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning
Jason Jingzhou Liu, Yulong Li, Kenneth Shaw et al.
Conditional Expectation Propagation
Zheng Wang, Shandian Zhe
Joint Nonparametric Precision Matrix Estimation with Confounding
Sinong Geng, Mladen Kolar, Oluwasanmi Koyejo
Variational Sparse Coding
Francesco Tonolini, Bjørn Sand Jensen, Roderick Murray-Smith
Object Conditioning for Causal Inference
David Jensen, Javier Burroni, Matthew Rattigan
Co-training for Policy Learning
Jialin Song, Ravi Lanka, Yisong Yue et al.
Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems
Yingzhen Yang, Jiahui Yu
On the design of consequential ranking algorithms
Behzad Tabibian, Vicenç Gómez, Abir De et al.
Testing Goodness of Fit of Conditional Density Models with Kernels
Wittawat Jitkrittum, Heishiro Kanagawa, Bernhard Schölkopf
Selling Data at an Auction under Privacy Constraints
Mengxiao Zhang, Fernando Beltran, Jiamou Liu
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
Arnab Mondal, Arnab Bhattacharjee, Sudipto Mukherjee et al.