International Conference on Learning Representations, 2023 (Spotlight)
CoRL22 Roboadapt Workshop, (Oral, Best Paper Award)
Keywords: Exploration, Goal-conditioned RL, World Models
Hi, I'm a CS Ph.D. student at the University of Pennsylvania advised by Dinesh Jayaraman. My goal is to develop robots can learn and act by themselves. I received my BS/MS in CS from the University of Southern California, where I worked with Joseph J. Lim. I also developed software for nonprofits at Code The Change, and interned at Tesla and Intel.
I develop data-driven algorithms for robots that enable them to act more intelligently and autonomously. I am particularly interested in exploration, model-based RL, and active perception.
Implementation of Planning Exploratory Goals, an unsupervised RL agent for hard exploration tasks. ICLR 2023
Code for "Know Thyself: Transferable Visual Control Policies Through Robot-Awareness" (ICLR'22)
Code release for "Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning" (CoRL'22)
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks (ICRA'21)
OpenAI's GPT2 integrated with slack.
A simple optical illusion in python