Learning Dynamic Abstract Representations for Sample-Efficient Reinforcement Learning

no code implementations • 4 Oct 2022 • Mehdi Dadvar, Rashmeet Kaur Nayyar, Siddharth Srivastava

In many real-world problems, the learning agent needs to learn a problem's abstractions and solution simultaneously.

reinforcement-learning Reinforcement Learning (RL)

Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems

1 code implementation • 8 Apr 2022 • Rushang Karia, Rashmeet Kaur Nayyar, Siddharth Srivastava

Several goal-oriented problems in the real-world can be naturally expressed as Stochastic Shortest Path Problems (SSPs).

Differential Assessment of Black-Box AI Agents

1 code implementation • 24 Mar 2022 • Rashmeet Kaur Nayyar, Pulkit Verma, Siddharth Srivastava

In this work, we propose a novel approach to "differentially" assess black-box AI agents that have drifted from their previously known models.