Our work "On the Hardness of Bandit Learning" co-authored with Nataly Brukhim, Miro Dudik and Robert Schapire got into COLT 2025!

Three works accepted to ICML: 1. Multiple-policy Evaluation via Density Estimation - led by PhD student Yilei Chen, joint with Ioannis Paschalidis. 2. Adaptive Exploration for Multi-Reward Multi-Policy Evaluation - led by Alessio Russo. (1/2)

New paper “Pure Exploration with Feedback Graphs” with BU postdoc Alessio Russo @alessiorusso.bsky.social and BU PhD student Yichen Song. Accepted for oral presentation @ AISTATS 2025.

[1/5] Happy to share a bit about 3 papers accepted into ICLR 2025 “Second Order Bounds for Contextual Bandits with Function Approximation” Authored by me “A Theoretical Framework for Partially-Observed Reward States in RLHF” with Chinmaya Kausik, Mirco Mutti and Ambuj Tewari

Introducing 🧞Genie 2 🧞 - our most capable large-scale foundation world model, which can generate a diverse array of consistent worlds, playable for up to a minute. We believe Genie 2 could unlock the next wave of capabilities for embodied agents 🧠.

It is great to see the Decision Pretrained Transformer used in creative ways: ""HVAC-DPT: A Decision Pretrained Transformer for HVAC Control""! arxiv.org/pdf/2411.19746

🚨 PSA 🚨 Deadline to apply for your dream Phd in ML @FLAIR_Ox is coming up on the 2nd of December AOE. We work on compute-only scaling of LLMs, (meta/multi-agent) RL at the Hyperscale, Human-AI coordination, opponent-shaping for vaccine design, GenAI for finance & much more..

The secret to doing good research is always to be a little underemployed. You waste years by not being able to waste hours. - Amos Tversky

I have just opened a profile here!