Yuxiao Qu

Rishabh Agarwal

@agarwl_

Reinforcement Learner

Alan Ritter

@alan_ritter

Computing professor at Georgia Tech - NLP, ML, AI

Aviral Kumar

@aviral_kumar2

Assistant Professor of CS & ML at @CarnegieMellon. PhD from UC Berkeley.

Dylan Foster 🐢

@canondetortugas

Incoming professor in EECS and Statistics at @UCBerkeley. Principal Researcher @ Microsoft Research. AI & RL. Lecture Notes: https://arxiv.org/abs/2312.16730

Shuyan Zhou

@shuyanzh36

agents @meta superintelligence | prev: assistant prof @dukecompsci, phd @LTIatCMU

Jiayi Pan

@jiayi_pirate

Research | Prev @xAI @Berkeley_AI | Views Are My Own

tom white

@dribnet

creations with code and networks

Taylor W. Killian

@tw_killian

Assistant Professor @BYUCS | Member of Technical Staff @LilaSciences, interested in RL, Decision Making under Uncertainty & Generalization

Xiang Yue

@xiangyue96

Superintelligence @Meta. Training & evaluating foundation models. Previously @LTIatCMU @osunlp. Opinions are my own.

Lewis Tunstall

@_lewtun

🤠 post-training @huggingface

Yifei Zhou

@YifeiZhou02

Research @cursor_ai | RL for LLM agents, prev @thinkymachines @xai @AIatMeta PhD @berkeley_ai, Opinions my own

Kevin Frans

@kvfrans

phd @berkeley_ai prev mit, reflection, openai read my thoughts: http://kvfrans.com

Shashwat Goel

@ShashwatGoel7

Training Decision Assistants Past work: http://openforecaster.github.io, Training AI Co-scientists, Illusion of Diminishing Returns

Naman Jain

@StringChaos

Research @cursor_ai | CursorBench, LiveCodeBench, DeepSWE, R2E-Gym, GSO, LMArena Coding | Past: @UCBerkeley @MetaAI @MSFTResearch @iitbombay