Publications

2024

	Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning (NCAA & NeurIPS'22 DRL workshop) Chaitanya Kharyal, Tanmay Kumar Sinha, SaiKrishna Gottipati, Srijita Das, Matthew E. Taylor
	GLIDE-RL: Grounded Language Instruction through DEmonstration in RL (Extended Abstract Accepted in AAMAS'24) Chaitanya Kharyal, Sai Krishna Gottipati, Tanmay Kumar Sinha, Srijita Das, Matthew E. Taylor

2022

	Spatial Relation Graph and Graph Convolutional Network for Object Goal Navigation (CASE'22) D. A. Sasi Kiran, Chaitanya Kharyal, K. Anand , G. Kumar, N. Gireesh, S. Banerjee, R. dev Roychoudhury, M. Sridharan, B. Bhowmick, M. Krishna
	Multi-Teacher Curriculum Design for Sparse Reward Environments (ALA workshop At AAMAS'22) Chaitanya Kharyal, Tanmay K. Sinha, Matthew E. Taylor

2021

	RP-VIO: Robust Plane-based Visual-Inertial Odometry for Dynamic Environments (Accepted in IROS'21) Karnik Ram, Chaitanya Kharyal, Sudarshan S. Harithas, K. Madhava Krishna