私たちについて
Hands-on project-oriented data science, with a heavy focus on machine learning and artificial intelligence. We're here to get neck-deep into projects and actually do awesome things!
Join our new discord https://discord.gg/xtFVsSZuPG where you can:
- discuss more AI/ML papers
- suggest/plan events
- share and discuss github projects
- find and post jobs on our jobs channel
- buy/sell used local gpu/server equipment
- scroll our social media aggregators for the latest AI research news across Bsky, X, Reddit, Youtube, Podcasts, and more
The meetup consists of:
- recurring study groups (if you want to start one, just notify Ben to be made a meetup co-organizer).
- intermediate/advanced working groups (starting in 2019)
- occasional talks and gathering (aiming for at least quarterly starting in 2019)
今後のイベント
21
MARL Chapter 9.8.3: Alpha Zero Introduction
·オンラインオンラインThis meeting will continue the material from Chapter 9 in Multi-Agent Reinforcement Learning: Foundations and Modern Approaches. Last time we covered Monte Carlo Tree search and showed how it can be extended to self-play turn taking games. This meeting we will lay the foundation needed to incorporate deep learning into MCTS and how that can be applied to perform policy improvement. We will discuss AlphaZero but also some recent refinements that change the way the policy function is used to direct tree search with Gumbel sampling.
As usual you can find below links to the textbook, previous chapter notes, slides, and recordings of some of the previous meetings.
Meetup Links:
Recordings of Previous RL Meetings
Recordings of Previous MARL Meetings
Short RL Tutorials
My exercise solutions and chapter notes for Sutton-Barto
My MARL repository
Kickoff Slides which contain other links
MARL Kickoff SlidesMARL Links:
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
MARL Summer Course Videos
MARL SlidesSutton and Barto Links:
Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
Video lectures from a similar course6 人の参加者Reinforcement Learning: Topic TBA
·オンラインオンラインTypically covers material from the following textbook: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
As usual you can find below links to the textbook, previous chapter notes, slides, and recordings of some of the previous meetings.
Meetup Links:
Recordings of Previous RL Meetings
Recordings of Previous MARL Meetings
Short RL Tutorials
My exercise solutions and chapter notes for Sutton-Barto
My MARL repository
Kickoff Slides which contain other links
MARL Kickoff SlidesMARL Links:
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
MARL Summer Course Videos
MARL SlidesSutton and Barto Links:
Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
Video lectures from a similar course5 人の参加者Reinforcement Learning: Topic TBA
·オンラインオンラインTypically covers material from the following textbook: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
As usual you can find below links to the textbook, previous chapter notes, slides, and recordings of some of the previous meetings.
Meetup Links:
Recordings of Previous RL Meetings
Recordings of Previous MARL Meetings
Short RL Tutorials
My exercise solutions and chapter notes for Sutton-Barto
My MARL repository
Kickoff Slides which contain other links
MARL Kickoff SlidesMARL Links:
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
MARL Summer Course Videos
MARL SlidesSutton and Barto Links:
Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
Video lectures from a similar course3 人の参加者Reinforcement Learning: Topic TBA
·オンラインオンラインTypically covers material from the following textbook: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
As usual you can find below links to the textbook, previous chapter notes, slides, and recordings of some of the previous meetings.
Meetup Links:
Recordings of Previous RL Meetings
Recordings of Previous MARL Meetings
Short RL Tutorials
My exercise solutions and chapter notes for Sutton-Barto
My MARL repository
Kickoff Slides which contain other links
MARL Kickoff SlidesMARL Links:
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
MARL Summer Course Videos
MARL SlidesSutton and Barto Links:
Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
Video lectures from a similar course3 人の参加者
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