1 citations · 1 across the 4 of their papers we have counts for
4 papers
Reward Learning through Ranking Mean Squared Error
Chaitanya Kharyal, Calarina Muslimani, Matthew E. Taylor
Reward design remains a significant bottleneck in applying reinforcement learning (RL) to real-world problems. A popular alternative is reward learning, where reward functions are…
GLIDE-RL: Grounded Language Instruction through DEmonstration in RL
Chaitanya Kharyal, Sai Krishna Gottipati, Tanmay Kumar Sinha +2
One of the final frontiers in the development of complex human - AI collaborative systems is the ability of AI agents to comprehend the natural language and perform tasks according…
Spatial Relation Graph and Graph Convolutional Network for Object Goal Navigation
D. A. Sasi Kiran, Kritika Anand, Chaitanya Kharyal +7
This paper describes a framework for the object-goal navigation task, which requires a robot to find and move to the closest instance of a target object class from a random startin…
RP-VIO: Robust Plane-based Visual-Inertial Odometry for Dynamic Environments
Karnik Ram, Chaitanya Kharyal, Sudarshan S. Harithas +1
Modern visual-inertial navigation systems (VINS) are faced with a critical challenge in real-world deployment: they need to operate reliably and robustly in highly dynamic environm…