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Samin Yeasar Arnob

2 accepted papers

2024

Efficient Reinforcement Learning by Discovering Neural Pathways

NeurIPS 2024poster

Reinforcement learning (RL) algorithms have been very successful at tackling complex control problems, such as AlphaGo or fusion control. However, current research mainly emphasizes solution quality, often achieved by using large models trained on large amounts of data, and does not account for the…

Cited by 1SourcePDFScholar
2023

Representation Learning in Deep RL via Discrete Information Bottleneck

AISTATS 2023poster

Several self-supervised representation learning methods have been proposed for reinforcement learning (RL) with rich observations. For real world applications of RL, recovering underlying latent states is crucial, particularly when sensory inputs can contain irrelevant and exogenous information. In…

Cited by 11SourcePDFScholar