Home | RL Reading Group | Deep Learning Notes
Vishal Sharma

Vishal Sharma

Research Scholar
Room 301, SIT building
IIT Delhi.

Contact: email
Vishal

Bio:
I am a Ph.D. student at Department of Computer Science, IIT Delhi. I am interested in Reinforcement Learning, Deep Planning and Statistical Relational Learning. In my first three years of Ph.D., I have worked on exploiting symmetries in Probabilistic Graphical Models(PGMs) under the guidance of Prof. Parag Singla where we developed Lifted Inference techniques in PGMs to exploit symmetries to solve Marginal-MAP inference in Markov Logic. Presently, I am working on neuro-symbolic learning under the supervision of Prof. Parag Singla and co-advised by Prof. Mausam. I am supported by TCS Research Scholar Fellowship Program. Before joining here I worked at Oracle India as Application Developer.

Conference Publications:
  1. Exploiting Long-Range Influences in Learning Generalized Neural Policies for RDDL Relational MDPs
    Vishal Sharma*, Daman Arora*, Mausam and Parag Singla. The 39th Conference on Uncertainty in Artificial Intelligence (UAI) 2023. Pittsburgh, USA.

  2. SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized Neural Policies for RDDL Relational MDPs [Paper] [Supplement]
    Vishal Sharma, Daman Arora, Florian Gei├čer, Mausam and Parag Singla. The 38th Conference on Uncertainty in Artificial Intelligence (UAI) 2022. Eindhoven, Netherlands.

  3. Lifted Marginal MAP Inference [Paper] [Supplement]
    Vishal Sharma, Noman Ahmed Sheikh, Happy Mittal, Vibhav Gogate and Parag Singla. Conference on Uncertainty in Artificial Intelligence (UAI), 2018. Monterey, California, USA.
Workshop Publications:
News:


General info for Ph.D. applicants: