Multi Agent Reinforcement Learning
Multi agent RL for search and rescue scenarios. Developing a simulation environment for adversarial/collaborative multi agent tasks with opportunities for communication, tool use, and navigation.
Projects
Reinforcement Learning for Data Selection
Using a reinforcement learning policy to create a distribution over the training data for use in a supervised model. For use in applications with bad data quality/labeling.