Maximilian Weichart
@mweichart.bsky.social
Reposted by Maximilian Weichart
📣 Please share: We invite submissions to the 29th International Conference on Artificial Intelligence and Statistics (#AISTATS 2026) and welcome paper submissions at the intersection of AI, machine learning, statistics, and related areas. [1/3]
August 12, 2025 at 11:46 AM
📣 Please share: We invite submissions to the 29th International Conference on Artificial Intelligence and Statistics (#AISTATS 2026) and welcome paper submissions at the intersection of AI, machine learning, statistics, and related areas. [1/3]
See you next Monday! www.meetup.com/data-science...
Data Science goes Tampere: iSchool Special , Mon, Sep 22, 2025, 3:30 PM | Meetup
Dear all,
We are very pleased to confirm another excuse to travel to a beautiful place (or to log on via Zoom and miss half the fun). We have an action-packed Meetup that
www.meetup.com
September 18, 2025 at 11:34 AM
See you next Monday! www.meetup.com/data-science...
Reposted by Maximilian Weichart
📢 Deadline extended!
Submit your work to EWRL — now accepting papers until June 3rd AoE.
This year, we're also offering a fast track for papers accepted at other conferences ⚡
Check the website for all the details: euro-workshop-on-reinforcement-learning.github.io/ewrl18/
Submit your work to EWRL — now accepting papers until June 3rd AoE.
This year, we're also offering a fast track for papers accepted at other conferences ⚡
Check the website for all the details: euro-workshop-on-reinforcement-learning.github.io/ewrl18/
May 26, 2025 at 2:47 PM
📢 Deadline extended!
Submit your work to EWRL — now accepting papers until June 3rd AoE.
This year, we're also offering a fast track for papers accepted at other conferences ⚡
Check the website for all the details: euro-workshop-on-reinforcement-learning.github.io/ewrl18/
Submit your work to EWRL — now accepting papers until June 3rd AoE.
This year, we're also offering a fast track for papers accepted at other conferences ⚡
Check the website for all the details: euro-workshop-on-reinforcement-learning.github.io/ewrl18/
Today we concluded our first R1 Reinforcement Learning meetup where I presented and we discussed the paper on AssistanceZero (by @cassidylaidlaw.bsky.social et al.)
If you're interesting in joining & talking about RL check out the meetup 💡 max-we.github.io/R1/
If you're interesting in joining & talking about RL check out the meetup 💡 max-we.github.io/R1/
R1: Reinforcement Learning Meetup
max-we.github.io
May 24, 2025 at 2:23 PM
Today we concluded our first R1 Reinforcement Learning meetup where I presented and we discussed the paper on AssistanceZero (by @cassidylaidlaw.bsky.social et al.)
If you're interesting in joining & talking about RL check out the meetup 💡 max-we.github.io/R1/
If you're interesting in joining & talking about RL check out the meetup 💡 max-we.github.io/R1/
Interested in RL? I'm planning to assemble a new online meetup, focused on reinforcement learning paper discussions. You can sign up, and as soon as enough people are interested, you'll get an invitation.
More information and registration: max-we.github.io/R1/
More information and registration: max-we.github.io/R1/
R1: Reinforcement Learning Meetup
max-we.github.io
April 4, 2025 at 3:47 PM
Interested in RL? I'm planning to assemble a new online meetup, focused on reinforcement learning paper discussions. You can sign up, and as soon as enough people are interested, you'll get an invitation.
More information and registration: max-we.github.io/R1/
More information and registration: max-we.github.io/R1/
Open-sourced my implementation of AlphaZero and various other MCTS policies to play Tetris. In contrast to other Tetris-agents, this implementation does *not* rely on observation- or action-space simplification. It trains an agent with the same information a human has.
github.com/Max-We/alpha...
github.com/Max-We/alpha...
GitHub - Max-We/alphazero-tetris: An implementation of AlphaZero and MCTS with neural networks for Tetris
An implementation of AlphaZero and MCTS with neural networks for Tetris - Max-We/alphazero-tetris
github.com
March 21, 2025 at 3:37 PM
Open-sourced my implementation of AlphaZero and various other MCTS policies to play Tetris. In contrast to other Tetris-agents, this implementation does *not* rely on observation- or action-space simplification. It trains an agent with the same information a human has.
github.com/Max-We/alpha...
github.com/Max-We/alpha...
🥳 50k score achieved, TetrisZero is working! Here's the viewer-site with a replay (actually, the replay became so long that the site is lagging a bit, lol). Full details on the algorithm will follow, once I evaluate it against AlphaZero...
max-we.github.io/tetris-zero/
max-we.github.io/tetris-zero/
Tetris Rollout Viewer
max-we.github.io
March 6, 2025 at 10:41 AM
🥳 50k score achieved, TetrisZero is working! Here's the viewer-site with a replay (actually, the replay became so long that the site is lagging a bit, lol). Full details on the algorithm will follow, once I evaluate it against AlphaZero...
max-we.github.io/tetris-zero/
max-we.github.io/tetris-zero/
It's getting there! Target is a score of 50k, currently about 10k.
February 28, 2025 at 10:13 AM
It's getting there! Target is a score of 50k, currently about 10k.
W&B sweeps is a really nice way of hyperparameter-searching. Didn't see a lot of people talk about it, but it makes the process really nicely streamlined + visualized. Essentially, you just need a config-file with the parameters to try, and it's ready to go
docs.wandb.ai/guides/sweeps/
docs.wandb.ai/guides/sweeps/
Sweeps
Hyperparameter search and model optimization with W&B Sweeps
docs.wandb.ai
February 27, 2025 at 11:22 AM
W&B sweeps is a really nice way of hyperparameter-searching. Didn't see a lot of people talk about it, but it makes the process really nicely streamlined + visualized. Essentially, you just need a config-file with the parameters to try, and it's ready to go
docs.wandb.ai/guides/sweeps/
docs.wandb.ai/guides/sweeps/
I found this via Scholar Inbox today. These are detailed, clear and understandable explanations + exercises to learn with. Thank you, great work!
I'm very excited to share notes on Probabilistic AI that I have been writing with @arkrause.bsky.social 🥳
arxiv.org/pdf/2502.05244
These notes aim to give a graduate-level introduction to probabilistic ML + sequential decision-making.
I'm super glad to be able to share them with all of you now!
arxiv.org/pdf/2502.05244
These notes aim to give a graduate-level introduction to probabilistic ML + sequential decision-making.
I'm super glad to be able to share them with all of you now!
February 11, 2025 at 2:52 PM
I found this via Scholar Inbox today. These are detailed, clear and understandable explanations + exercises to learn with. Thank you, great work!
Working on debugging RL algorithms such as AlphaZero is hard, especially when the codebase uses just-in-time-compiled JAX. So I created a replay-viewer which visualizes an episode with all the policy statistics for a personal project. Will be open-sourced once I finish my new algorithm!
January 29, 2025 at 7:37 PM
Working on debugging RL algorithms such as AlphaZero is hard, especially when the codebase uses just-in-time-compiled JAX. So I created a replay-viewer which visualizes an episode with all the policy statistics for a personal project. Will be open-sourced once I finish my new algorithm!
Is it normal to thank ChatGPT in the Acknowledgements of your paper nowadays? lol
arxiv.org/pdf/2301.01379
arxiv.org/pdf/2301.01379
January 23, 2025 at 5:44 PM
Is it normal to thank ChatGPT in the Acknowledgements of your paper nowadays? lol
arxiv.org/pdf/2301.01379
arxiv.org/pdf/2301.01379
Reposted by Maximilian Weichart
Excited to share that today our paper recommender platform www.scholar-inbox.com has reached 20k users! We hope to reach 100k by the end of the year.. Lots of new features are being worked on currently and rolled out soon.
January 15, 2025 at 10:03 PM
Excited to share that today our paper recommender platform www.scholar-inbox.com has reached 20k users! We hope to reach 100k by the end of the year.. Lots of new features are being worked on currently and rolled out soon.