25 citations · 83 across the 27 of their papers we have counts for
4 papers · 1 filter
Discovering hierarchies using Imitation Learning from hierarchy aware policies
Ameet Deshpande, Harshavardhan Kamarthi, Balaraman Ravindran
Learning options that allow agents to exhibit temporally higher order behavior has proven to be useful in increasing exploration, reducing sample complexity and for various transfe…
Improvements on Hindsight Learning
Ameet Deshpande, Srikanth Sarma, Ashutosh Jha +1
Sparse reward problems are one of the biggest challenges in Reinforcement Learning. Goal-directed tasks are one such sparse reward problems where a reward signal is received only w…
FigureNet: A Deep Learning model for Question-Answering on Scientific Plots
Revanth Reddy, Rahul Ramesh, Ameet Deshpande +1
Deep Learning has managed to push boundaries in a wide variety of tasks. One area of interest is to tackle problems in reasoning and understanding, with an aim to emulate human int…
Weight Initialization in Neural Language Models
Ameet Deshpande, Vedant Somani
Semantic Similarity is an important application which finds its use in many downstream NLP applications. Though the task is mathematically defined, semantic similarity's essence is…