PhD at NYU studying reasoning, decision-making, and open-endedness 
alum of MIT | prev: Google, MSR, MIT CoCoSci
https://upiterbarg.github.io/
                                     
                            
                    
                    
                                            Assistant professor at Princeton CS working on reinforcement learning and AI/ML.
Site: https://ben-eysenbach.github.io/
Lab: https://princeton-rl.github.io/
                                     
                            
                    
                    
                                            AI, robotics, and other stuff. Currently AI @ agility robotics
Former Hello Robot, NVIDIA, Meta.
Writing about robots https://itcanthink.substack.com/
All opinions my own
                                     
                            
                    
                    
                                            Assistant Professor of CS @nyuniversity. 
I like robots!
                                     
                            
                    
                    
                                            CS Prof at Brown University, PI of the GIRAFFE lab, former AI Policy Advisor in the US Senate. 
PhD at MIT CSAIL '23, Harvard '16, former Google APM. Dog mom to NSDTR Ducki.
                                     
                            
                    
                    
                                            PhDing @UCSanDiego @NVIDIA @hillbot_ai on scalable robot learning and embodied AI. Co-founded @LuxAIChallenge to build AI competitions. @NSF GRFP fellow
http://stoneztao.com
                                     
                            
                    
                    
                                    
                            
                    
                    
                                            Assistant Professor, Paul G. Allen School of Computer Science and Engineering, University of Washington
Visiting Faculty, NVIDIA 
Ph.D. from Berkeley, Postdoc MIT
https://homes.cs.washington.edu/~abhgupta
I like robots and reinforcement learning :)
                                     
                            
                    
                    
                                            Information and updates about RLC 2025 at the University of Alberta from Aug. 5th to 8th!
https://rl-conference.cc
                                     
                            
                    
                    
                                    
                            
                    
                    
                                            PhD student at @cmurobotics.bsky.social working on efficient algorithms for interactive learning (e.g. imitation / RL / RLHF). no model is an island. prefers email. https://gokul.dev/. on the job market!
                                     
                            
                    
                    
                                            Professor at Columbia. Computer Vision and Machine Learning 
                                     
                            
                    
                    
                                    
                            
                    
                    
                                            PhD Student at UC Berkeley https://haozhi.io
                                     
                            
                    
                    
                                            PhD student @Berkeley_AI
reinforcement learning, AI, robotics
                                     
                            
                    
                    
                                            Assistant Professor @Princeton. Developing robots that plan and learn to help people. Prev: @Cornell, @MIT, @Harvard.
https://tomsilver.github.io/
                                     
                            
                    
                    
                                            Associate prof @ UMass Amherst CICS. 
AIignment, reinforcement learning, imitation learning, and robotics.
                                     
                            
                    
                    
                                            Building generally intelligent robots that *just work* everywhere, out of the box, at Berkeley AI Research (BAIR) and Meta FAIR.
Previously at NYU Courant, MIT and visiting researcher at Meta AI.
https://mahis.life/
                                     
                            
                    
                    
                                            Asst. Prof. at the University of Pennsylvania, part of the GRASP Lab. PI of the Dynamic Autonomy and Intelligent Robotics Lab. https://dair.seas.upenn.edu