← Search

Esraa Elelimy

2 accepted papers

2026

Position: RL Researchers Need to Distinguish Between Solving Simulators and Using Simulators as a Proxy

ICML 2026poster

One goal in reinforcement learning (RL) research is to understand general purpose sequential decision-making, using benchmark simulators as a proxy for learning in a deployment setting. When running experiments, however, the goal of achieving high performance in the simulator can mutate into focusin…

Cited by 0SourceScholar
2024

Real-Time Recurrent Learning using Trace Units in Reinforcement Learning

NeurIPS 2024poster

Recurrent Neural Networks (RNNs) are used to learn representations in partially observable environments. For agents that learn online and continually interact with the environment, it is desirable to train RNNs with real-time recurrent learning (RTRL); unfortunately, RTRL is prohibitively expensive…