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05/30/2023
GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts
Model predictive control (MPC) is a popular approach for trajectory opti...
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11/29/2022
A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations
Object-goal navigation (Object-nav) entails searching, recognizing and n...
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06/07/2021
On Learning to Rank Long Sequences with Contextual Bandits
Motivated by problems of learning to rank long item sequences, we introd...
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02/08/2021
Unlocking Pixels for Reinforcement Learning via Implicit Attention
There has recently been significant interest in training reinforcement l...
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06/27/2019
ExTra: Transfer-guided Exploration
In this work we present a novel approach for transfer-guided exploration...
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04/09/2019
PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images
Hyperspectral images of land-cover captured by airborne or satellite-mou...
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07/20/2017
RAIL: Risk-Averse Imitation Learning
Imitation learning algorithms learn viable policies by imitating an expe...
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12/01/2016
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification
Deep learning based landcover classification algorithms have recently be...
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04/10/2016
Visualization Regularizers for Neural Network based Image Recognition
The success of deep neural networks is mostly due their ability to learn...
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03/15/2016