About Me

Hello, I'm Sonny George. I am currently finishing my Master's at Brandeis University and am seeking Fall 2024 PhD opportunities in the space of action-taking AI.

Much of future impactful AI will require some form of active embodiment, reflection, and continual learning. In contrast, the “intelligence” of today's AI systems tends to be static and task-specific.

I am excited by research that supports the development of AI systems that:

• Plan and act in uncertain environments
• Adapt to novel tasks/situations with inference-time-feasible efficiency and without catastrophic forgetting/interference
• Are sufficiently interpretable and manipulable to be useful and aligned with human preferences

For such systems, many bottlenecks remain: perception (visual, sensorimotor, etc.), manipulation, planning with world-dynamics models, open-ended learning algorithms (intrinsic curiosity objectives), interpretability, and more.

Publications

Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction

Sonny George, Chris Sypherd, and Dylan Cashman
Findings of the 2024 Conference on Empirical Methods in Natural Language Processing

Projects

Routine Butler

Vision-Based Line-Following Robot With Obstacle Avoidance

RL-Trained Object Grabber

(in development)