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20182026
most citedLearning to Explore using Active Neural SLAM

221 citations · 468 across the 22 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.LG2019★ 32 cited

DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning

Bharathan Balaji, Sunil Mallya, Sahika Genc +10

DeepRacer is a platform for end-to-end experimentation with RL and can be used to systematically investigate the key challenges in developing intelligent control systems. Using the…

cs.CL2019★ 4 cited

FineText: Text Classification via Attention-based Language Model Fine-tuning

Yunzhe Tao, Saurabh Gupta, Satyapriya Krishna +3

Training deep neural networks from scratch on natural language processing (NLP) tasks requires significant amount of manually labeled text corpus and substantial time to converge,…

cs.RO2019

Efficient Bimanual Manipulation Using Learned Task Schemas

Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta +1

We address the problem of effectively composing skills to solve sparse-reward tasks in the real world. Given a set of parameterized skills (such as exerting a force or doing a top…

cs.RO2019★ 51 cited

PyRobot: An Open-source Robotics Framework for Research and Benchmarking

Adithyavairavan Murali, Tao Chen, Kalyan Vasudev Alwala +4

This paper introduces PyRobot, an open-source robotics framework for research and benchmarking. PyRobot is a light-weight, high-level interface on top of ROS that provides a consis…

cs.RO2019★ 37 cited

Learning Exploration Policies for Navigation

Tao Chen, Saurabh Gupta, Abhinav Gupta

Numerous past works have tackled the problem of task-driven navigation. But, how to effectively explore a new environment to enable a variety of down-stream tasks has received much…