Excited to share our work, "Skill Set Optimization", a continual learning method for LLM actors that: - Automatically extracts modular subgoals to use as skills - Reinforces skills using environment reward - Facilitates skill retrieval based on state https://t.co/vaSYjVzlB2 🧵

it's like how politicians “apologize if anyone misunderstood what I meant”; ChatGPT is a little weasel

I absolutely love how ChatGPT never actually admits any of its mistakes, instead “apologizing for the confusion”. It's like: “look, one of us seems very confused, but let's not get hung up on who. here's the plan: I won't deny partial responsibility, and you still tip me, k?”

Are you interested in causality, machine learning and healthcare? Come work with Mihaela van der Schaar (@MihaelaVDS) and me in a joint PhD or postdoc at Cambridge University, UK and the Technion, Israel Contact via email: shalit-lab AT technion ac il

https://t.co/CGyKfVwPIf

The deadline for our #NeurIPS2022 InfoCog workshop is approaching soon [updated 🗓️: Sep 22]. We expect to have some funding to support a few selected presenters of accepted papers, and a special issue of Open Mind associated with the workshop! More info 👇 https://t.co/oWibOkkXbv

Very excited for the 2022 edition of the #neurips Deep RL workshop! A few fun changes, see below. Also, submission deadline: Sep 22

We (@BeEngelhardt, @NailaMurray and I) are proud to announce the creation of a Journal-to-Conference track, in collaboration with JMLR and conferences NeurIPS 2022, ICLR 2023 and ICML 2023! https://t.co/DYcKRBDOw1 https://t.co/Er3jLzPXf4 https://t.co/DMfKbMukpd

📣 Very excited to announce our in-person #NeurIPS2022 workshop on Information-Theoretic Principles in Cognitive Systems! Check out our lineup of invited speakers and CFP, submit short papers by September 19 https://t.co/oWibOkkplX #InfoCog2022 @NeurIPSConf

המעבדה שלי בטכניון מחפשת עוזרי.ות מחקר! לפרטים נוספים: https://t.co/yBYSbjzAQI כמו כן, מגייסים סטודנטים.ות לתארים מתקדמים. אל תהססו ליצור קשר!

Policy Space Response Oracles (PSRO) mixes over a population of deep RL policies to approximate a Nash equilibrium, but exploitability can increase from one iteration to the next. We introduce Anytime PSRO which does not increase exploitability. Arxiv: https://t.co/yC88UhDcMH

Come join us tomorrow (Mon) for the #NeurIPS2021 Meaning in Context workshop! We aim to advance human-machine communication by understanding how pragmatic reasoning works in humans and how it can inform AI website: https://t.co/UAQrQlOWvP NeurIPS link:

This. Our top conferences are "captive regulators" of noteworthy research, and Big ML has subtly shifted their focus to experiments that have low scientific value, high environmental footprint, and — significantly — only they can run. #demeritNeurIPS

Interested in hearing about the theoretical foundations of RL from a multidisciplinary perspective (CS, control, stats, OR)? If so, join us at the (all virtual) RL Theory Bootcamp at the Simons Institute next week. Lectures in the morning and the afternoon ==>

There is no magical benchmark that experiments must be run against in order to be acceptable.

Would people be ok with renaming it "I Can't Believe It's Not Intelligence! ®"

UCI researchers launch first-of-its-kind #coronavirus statistics portal: Site provides comparisons between OC & neighboring counties. More: https://t.co/l4zlhPfTZG

I have an imitation learning joke, but not sure it is the reason why you laugh.

I have a reinforcement learning joke, but I'm sure it will be lost on the critics.

https://t.co/V4spObNqtu One last time; official ad is out.