Job #AJO30865, Postdoc in Theoretical Computer Science at Stanford, Computer Science/Theory Lab/Stanford University, Stanford University, Stanford, California, US

Apply for a research position at Microsoft Research New York & collaborate with academia to advance economics research, prediction markets & ML.

Apply for a research position at Microsoft Research New York & collaborate with academia to advance economics research, prediction markets & ML.

Apply for a research position at Microsoft Research New York & collaborate with academia to advance economics research, prediction markets & ML.

Simulators are a pervasive tool in reinforcement learning, but most existing algorithms cannot efficiently exploit simulator access -- particularly in high-dimensional domains that require general fun...

Self-play has powered breakthroughs in two-player and multi-player games. Here we show that self-play is a surprisingly effective strategy in another domain. We show that robust and naturalistic drivi...

While recent works (e.g. o1, DeepSeek R1) have demonstrated great promise of using long Chain-of-Thought (CoT) to improve reasoning capabilities of language models, scaling it up during test-time is c...

The performance of embodied agents has been shown to improve by increasing model parameters, dataset size, and compute. This has been demonstrated in domains from robotics to video games, when generat...

In their 2024 NeurIPS paper on RL under latent dynamics, researchers examine whether existing algorithms designed for simple RL problems can be used to solve more complex RL problems. Dylan Foster dis...