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Runxuan Jiang

2 accepted papers

2024

Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks

ICLR 2024poster

Multitask Reinforcement Learning (MTRL) approaches have gained increasing attention for its wide applications in many important Reinforcement Learning (RL) tasks. However, while recent advancements in MTRL theory have focused on the improved statistical efficiency by assuming a shared structure acro…

Cited by 1SourcePDFScholar
2020

TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search

NeurIPS 2020poster

Molecular geometry prediction of flexible molecules, or conformer search, is a long-standing challenge in computational chemistry. This task is of great importance for predicting structure-activity relationships for a wide variety of substances ranging from biomolecules to ubiquitous materials. Subs…