Gopeshh Raaj Subbaraj — accepted AI-conference papers

2023

Discovering Object-Centric Generalized Value Functions From Pixels

Somjit Nath, Gopeshh Raaj Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou

ICML 2023poster

Deep Reinforcement Learning has shown significant progress in extracting useful representations from high-dimensional inputs albeit using hand-crafted auxiliary tasks and pseudo rewards. Automatically learning such representations in an object-centric manner geared towards control and fast adaptatio…

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2022

Continual Learning In Environments With Polynomial Mixing Times

Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Raaj Subbaraj, Maximilian Puelma Touzel, Irina Rish

NeurIPS 2022accept

The mixing time of the Markov chain induced by a policy limits performance in real-world continual learning scenarios. Yet, the effect of mixing times on learning in continual reinforcement learning (RL) remains underexplored. In this paper, we characterize problems that are of long-term interest to…

Cited by 9 Source ↗PDF ↗code ↗Scholar ↗