Arjun Manoharan

MS Scholar

I a MS scholar working with Prof.Balaraman Ravindran in Hierarchical Reinforcement Learning. Prior to this I was with Verizon Data Services India(VDSI) for two years. During my stay at VDSI I worked on the qualification engine to qualify verizon products for wireline customers.

publications

RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction

Harsha Kokel , Arjun Manoharan , Sriraam Natarajan and more

Proceedings of the International Conference on Automated Planning and Scheduling (Vol. 31, pp. 533-541)

Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning

Arjun Manoharan , Rahul Ramesh , B Ravindran

ECML PKDD 2020. Lecture Notes in Computer Science, vol 12458