Publication

Reinforcement Learning and Hardware in the Loop for Localized Vibrotactile Feedback in Haptic Surfaces

Related publications (107)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Reinforcement Learning and Hardware in the Loop for Localized Vibrotactile Feedback in Haptic Surfaces

Graph Chatbot

Chat with Graph Search

Recursive Input And State Estimation: A General Framework For Learning From Time Series With Missing Data

The role of convolutional neural networks in scanning probe microscopy: a review

Visual Focus of Attention Estimation in 3D Scene with an Arbitrary Number of Targets

CauseOccam: Learning Interpretable Abstract Representations in Reinforcement Learning Environments via Model Sparsity

Interpreting deep learning models for epileptic seizure detection on EEG signals

3D Structure From 2D Microscopy Images Using Deep Learning

Deep visual Re-identification with confidence

DeepImageJ: A user-friendly environment to run deep learning models in ImageJ

Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences

Learning continuous-time working memory tasks with on-policy neural reinforcement learning