| CARVIEW |
Select Language
HTTP/2 200
server: GitHub.com
content-type: text/html; charset=utf-8
last-modified: Thu, 18 Dec 2025 02:19:20 GMT
access-control-allow-origin: *
strict-transport-security: max-age=31556952
etag: W/"694364a8-92c"
expires: Mon, 29 Dec 2025 11:34:44 GMT
cache-control: max-age=600
content-encoding: gzip
x-proxy-cache: MISS
x-github-request-id: 3C20:272D88:8C5842:9D7AAD:695264FB
accept-ranges: bytes
age: 0
date: Mon, 29 Dec 2025 11:24:44 GMT
via: 1.1 varnish
x-served-by: cache-bom-vanm7210083-BOM
x-cache: MISS
x-cache-hits: 0
x-timer: S1767007484.084762,VS0,VE218
vary: Accept-Encoding
x-fastly-request-id: c756066592664cb3696be957632aad094deabbb0
content-length: 1129
Machine Intelligence through Decision-making and Interaction
Machine Intelligence through Decision-making and Interaction
About the Lab
The MIDI group is led by Professor Amy Zhang and a part of The University of Texas at Austin, Department of Electrical and Computer Engineering.
We focus on improving reinforcement learning algorithms to generalize and adapt for sequential decision-making problems in the real world.
Our research centers on reinforcement learning but also touches upon the areas of representation learning, generative models, robot learning, and multi-agent learning.