Learning Embeddings for Sequential Tasks Using Population of Agents

Mridul Mahajan, Georgios Tzannetos, Goran Radanovic +1

We present an information-theoretic framework to learn fixed-dimensional embeddings for tasks in reinforcement learning. We leverage the idea that two tasks are similar if observin…