Ravi Tej Akella

Indian Institute of Technology Roorkee

H-index: 3

Asia-India

About Ravi Tej Akella

Ravi Tej Akella, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at Indian Institute of Technology Roorkee, specializes in the field of Computer Vision, Reinforcement Learning, Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Distributional Distance Classifiers for Goal-Conditioned Reinforcement Learning

Reasoning with latent diffusion in offline reinforcement learning

Reinforced Multi-task Approach for Multi-hop Question Generation

Enhancing Perceptual Loss with Adversarial Feature Matching for Super-Resolution

Deep Bayesian Quadrature Policy Optimization

Ravi Tej Akella Information

University	Indian Institute of Technology Roorkee
Position	___
Citations(all)	41
Citations(since 2020)	40
Cited By	4
hIndex(all)	3
hIndex(since 2020)	3
i10Index(all)	2
i10Index(since 2020)	2
Email	Access Email
University Profile Page	Indian Institute of Technology Roorkee
Google Scholar	View Google Scholar Profile

Ravi Tej Akella Skills & Research Interests

Computer Vision

Reinforcement Learning

Robotics

Top articles of Ravi Tej Akella

Title	Journal	Author(s)	Publication Date
Distributional Distance Classifiers for Goal-Conditioned Reinforcement Learning		Ravi Tej Akella Benjamin Eysenbach Jeff Schneider Russ Salakhutdinov	2023/10/13
Reasoning with latent diffusion in offline reinforcement learning	arXiv preprint arXiv:2309.06599	Siddarth Venkatraman Shivesh Khaitan Ravi Tej Akella John Dolan Jeff Schneider ...	2023/9/12
Reinforced Multi-task Approach for Multi-hop Question Generation		Deepak Gupta Hardik Chauhan Ravi Tej Akella Asif Ekbal Pushpak Bhattacharyya	2020/12
Enhancing Perceptual Loss with Adversarial Feature Matching for Super-Resolution		Akella Ravi Tej Shirsendu Sukanta Halder Arunav Pratap Shandeelya Vinod Pankajakshan	2020/7/19
Deep Bayesian Quadrature Policy Optimization		Akella Ravi Tej Kamyar Azizzadenesheli Mohammad Ghavamzadeh Anima Anandkumar Yisong Yue	2021