Aravind Srinivas

Aravind Srinivas

Follow on Twitter: @aravind7694.

I'm a second year PhD student at UC Berkeley fortunate to be advised by Prof. Pieter Abbeel.

I interned at OpenAI during summer of 2018 and worked with John Schulman on analyzing Proximal Policy Optimization.

I was fortunate to spend a few months during Fall 2016 as a vistitng student under Prof. Yoshua Bengio.

I am broadly interested in learning representations of raw sensory observations using deep neural networks. Currently, I am working on deep generative modeling and deep reinforcement learning.

News

Going to spend summer as intern with Aaron Van Den Oord and Oriol Vinyals at the Deep Learning Team of DeepMind.

I am currently co-teaching a graduate level course at Berkeley on Deep Unsupervised Learning with my adviser Pieter Abbeel and lab colleagues Peter Chen and Jonathan Ho. This is the first offering of this course.

I co-organized the Deep Reinforcement Learning Workshop at NeurIPS 2018, Montreal, with Pieter Abbeel, Joshua Achiam, Rein Huothooft, Satinder Singh, Joelle Pineau and David Silver.

Along with Pieter Abbeel, I am advising a startup inzone.ai on applying deep reinforcement learning for real world problems.

Preprints

Publications