Paper Status: Accepted to ICRA 2019 Link to the paper, code, presentation. Learning to make decisions in the real world is hard for a plethora of reasons. The decision-making architecture or controller has to not only find a good representation but also has to display a high degree of adaptability and versatility. This whole task is … Continue reading Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks
Author: Sanjay Thakur
Learning from Demonstrations – I
Lately, I have been thinking deeply (pun intended) of Imitation Learning and its prospects for enabling fully autonomous robots and cobots. This will help us not do what we really do not want to do. Well, you might say, "look Sanjay, there is nothing groundbreaking about this idea and you are definitely not the first and … Continue reading Learning from Demonstrations – I
The very Basics of Bayesian Neural Networks
By the virtue of its ability to approximate any function([1], [2]), Neural Network~(NN) based architectures have achieved massive success in learning complex input-output mappings from data. However, mere knowledge of the input-output mapping falls short on a lot of situations especially that need to integrate beliefs in the model or where data is limited. Bayesian … Continue reading The very Basics of Bayesian Neural Networks
Interfacing Tensorflow to Noobs
Hi there!! This post is supplementary to the presentation hosted here and all the codes can be found here. TensorFlow (TF) is an open-source numerical computation python library maintained by Google Inc. It has enabled long-standing powerful deep learning techniques accessible for both production and research. Owing to its strong community backing and flexible design it … Continue reading Interfacing Tensorflow to Noobs
Installing Experience into Artificially Intelligent Agents
Hi everyone, as a result of my desperate attempts to kick-off my life as some Artificial Intelligence (AI) researcher I present to you my most recent findings and endeavors on the lines of creating better AI. All views are mine and subjective. And please let me know if there is any room for improvement in … Continue reading Installing Experience into Artificially Intelligent Agents
Rendezvous with Realistic Image Synthesis
It is said that a picture is worth a thousand words. But the question is can we make the image enough appealing to its beholder to grasp and digest those 1000 words. Image rendering to generate artificial yet realistic looking images is the field where ways are being devised to do so.
The key to win depends the extra mile you take
Well, you'll find a lot of motivational pieces of stuff in various books, magazines, and of course the internet. But I am going to write here about the thing that I feel is the most important to do during the preparation time, where the competition is neck to neck and no opponent is weak. The … Continue reading The key to win depends the extra mile you take
Detection of antipatterns in Mobile Architectures and resolving them
Hii everyone here. Today, I am going to write about the research project that I did at LATECE, UQAM during the summer of 2015. It was one of the most important experiences I have obtained so far in my life. Here I discuss why such a research is required to be done and its importance. … Continue reading Detection of antipatterns in Mobile Architectures and resolving them
UQAM, Montreal:My first international work experience
Travelling to a new country having a different type of society has always lured me. Very fortunately, I didn't have to wait for very long. Last summer, I got the coveted internship offer from UQAM, Montreal under Mitacs Globalink Program. After my return to India, I was interviewed by SSMP. Here is the link to … Continue reading UQAM, Montreal:My first international work experience
