Name: Scott Emmons
Type: User
Company: University of California, Berkeley
Bio: PhD student at UC Berkeley's Center for Human-Compatible Artificial Intelligence
Twitter: emmons_scott
Location: Berkeley, California
Blog: https://scottemmons.com/
Scott Emmons's Projects
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Code for "Learning to Reach Goals via Iterated Supervised Learning"
GMap: Graph-to-Map visualization tool
Kris' Locomotion and Manipulation Planning Toolkit
Reinforcement Learning via Supervised Learning
Sparse Graphical Memory for Robust Planning
Conservative Q Learning on top of SAC