News

1. Mar 2022
Our work Validate on Sim, Detect on Real–Model Selection for Domain Randomization got accepted to ICRA 2022

1. Jan 2022
Won ERC Starting grant for project BAYES-RL!

18. Dec 2021
We’re looking for a postdoc to join our team! Contact me if interested.

16. Dec 2021
Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability accepted to AAAAI 2021!

16. Dec 2021
New preprint: Validate on Sim, Detect on Real–Model Selection for Domain Randomization

11. Oct 2021
New preprint: Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability

11. Oct 2021
Offline meta learning of exploration got accepted to NeurIPS 2021!

1. Apr 2021
2 papers (contrastive domain randomization and efficient self-supervised data collection) got accepted to ICRA 2021, and Soft-Intro VAE accepted as an oral presentation at CVPR 2021!

3. Sep 2020
New preprint: offline meta reinforcement learning

3. Sep 2020
Our work on efficient MDP analysis for selfish-mining in blockchains got accepted to ACM Advances in Financial Technologies

21. June 2020
2 papers accepted to ICML 2020! Sub-goal Trees and Hallucinative Topological Memory

31. Mar 2020
Deep Residual Flow got accepted to CVPR 2020!</a>

16. Jan 2020
New preprint: Deep Residual Flow for Novelty Detection

10. Dec 2019
I’ll be giving a talk on visual planning and novelty detection at NeurIPS workshop: Safety and Robustness in Decision-making

10. Dec 2019
New preprint: Deep Variational Semi-Supervised Novelty Detection

07. Sep 2019
Our paper Multi-Agent Reinforcement Learning with Multi-Step Generative Models got accepted to CoRL 2019!

01. June 2019
New website! Thanks to Allan Lab for the template!