Thomas Jiralerspong

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Reinforcement Learning

Top Venues

Publications

Ezekiel Williams, Avery Hee-Woon Ryoo, Thomas Jiralerspong, Alexandre Payeur, Matthew G. Perich, Luca Mazzucato, Guillaume Lajoie
Expressivity of Neural Networks with Random Weights and Learned Biases. CoRR (2024)
Thomas Jiralerspong, Xiaoyin Chen, Yash More, Vedant Shah, Yoshua Bengio
Efficient Causal Graph Discovery Using Large Language Models. CoRR (2024)
Flemming Kondrup, Thomas Jiralerspong, Elaine Lau, Nathan de Lara, Jacob Shkrob, My Duc Tran, Doina Precup, Sumana Basu
Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning. AAAI (2023)
Marshall Wang, John Willes, Thomas Jiralerspong, Matin Moezzi
A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control. CoRR (2023)
Chen Sun, Wannan Yang, Thomas Jiralerspong, Dane Malenfant, Benjamin Alsbury-Nealy, Yoshua Bengio, Blake A. Richards
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL. NeurIPS (2023)
Thomas Jiralerspong, Flemming Kondrup, Doina Precup, Khimya Khetarpal
Forecaster: Towards Temporally Abstract Tree-Search Planning from Pixels. CoRR (2023)
Yu Lu Liu, Thomas Jiralerspong
Network Analysis of the iNaturalist Citizen Science Community. CoRR (2023)
Flemming Kondrup, Thomas Jiralerspong, Elaine Lau, Nathan de Lara, Jacob Shkrob, My Duc Tran, Doina Precup, Sumana Basu
Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning. CoRR (2022)