International Conference on Learning Representations, 2023 (Spotlight)
CoRL22 Roboadapt Workshop, (Oral, Best Paper Award)
Keywords: Exploration, Goal-conditioned RL, World Models
I'm a CS Ph.D. student at the University of Pennsylvania advised by Dinesh Jayaraman. 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 intelligent decision-making systems, ranging from virtual agents to physical robots. I currently work in reinforcement learning and robotics.
I am looking for internships!
(The code and reviews for all of my PhD papers are readily accessible.)
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