Alex Lewandowski
@alexlewandowski.bsky.social
PhD candidate studying learning algorithms
Regarding the ICLR OpenReview situation: I spent multiple days replying to Authors' rebuttals. I cannot overstate how eerily similar some of it felt to pointing out bugs to an LLM. I proceeded on the assumption that my critique served the scientific record; it is disheartening to hear otherwise.
November 28, 2025 at 9:29 PM
Regarding the ICLR OpenReview situation: I spent multiple days replying to Authors' rebuttals. I cannot overstate how eerily similar some of it felt to pointing out bugs to an LLM. I proceeded on the assumption that my critique served the scientific record; it is disheartening to hear otherwise.
Language models can make convenient writing partners, if you know how to use them. But one disadvantage of their increased use in peer-review is a collapse in thought diversity. Instead of hearing from thousands of different minds, we get thousands of samples from a few.
November 27, 2025 at 6:52 AM
Language models can make convenient writing partners, if you know how to use them. But one disadvantage of their increased use in peer-review is a collapse in thought diversity. Instead of hearing from thousands of different minds, we get thousands of samples from a few.
The link to your paper belongs in 1/n, not n/n.
The paper is the product. Algorithms be damned.
The paper is the product. Algorithms be damned.
November 22, 2025 at 9:17 PM
The link to your paper belongs in 1/n, not n/n.
The paper is the product. Algorithms be damned.
The paper is the product. Algorithms be damned.
Reposted by Alex Lewandowski
Propose some socials for RLC! Research topics, affinity groups, niche interests, whatever comes to mind!
rl-conference.cc/call_for_soc...
rl-conference.cc/call_for_soc...
RLC Call for Workshops
rl-conference.cc
June 25, 2025 at 1:26 PM
Propose some socials for RLC! Research topics, affinity groups, niche interests, whatever comes to mind!
rl-conference.cc/call_for_soc...
rl-conference.cc/call_for_soc...
I will be presenting a poster at RLDM on Wednesday @ 4:30pm. We show that embedding an agent implicitly constrains both it and the environment. We use this constraint to characterize continual adaptation. lewandowskialex.com/papers/files...
Feel free to reach out if you're attending RLDM!
Feel free to reach out if you're attending RLDM!
June 9, 2025 at 10:34 PM
I will be presenting a poster at RLDM on Wednesday @ 4:30pm. We show that embedding an agent implicitly constrains both it and the environment. We use this constraint to characterize continual adaptation. lewandowskialex.com/papers/files...
Feel free to reach out if you're attending RLDM!
Feel free to reach out if you're attending RLDM!
I will be presenting two posters at ICLR that outlines an optimization perspective on loss of plasticity. Come check them out on Thursday and Friday @ 10am.
Also, feel free to reach out to chat about continual, meta and/or reinforcement learning.
Also, feel free to reach out to chat about continual, meta and/or reinforcement learning.
April 22, 2025 at 3:26 AM
I will be presenting two posters at ICLR that outlines an optimization perspective on loss of plasticity. Come check them out on Thursday and Friday @ 10am.
Also, feel free to reach out to chat about continual, meta and/or reinforcement learning.
Also, feel free to reach out to chat about continual, meta and/or reinforcement learning.
Very cool to see loss of plasticity effects demonstrated at scale.
Training with more data = better LLMs, right? 🚨
False! Scaling language models by adding more pre-training data can decrease your performance after post-training!
Introducing "catastrophic overtraining." 🥁🧵👇
arxiv.org/abs/2503.19206
1/10
False! Scaling language models by adding more pre-training data can decrease your performance after post-training!
Introducing "catastrophic overtraining." 🥁🧵👇
arxiv.org/abs/2503.19206
1/10
March 27, 2025 at 2:10 AM
Very cool to see loss of plasticity effects demonstrated at scale.
Congratulations! In my opinion, this level of recognition is over-due. Reinforcement learning is dead, long live reinforcement learning!
Meet the recipients of the 2024 ACM A.M. Turing Award, Andrew G. Barto and Richard S. Sutton! They are recognized for developing the conceptual and algorithmic foundations of reinforcement learning. Please join us in congratulating the two recipients! bit.ly/4hpdsbD
March 5, 2025 at 8:44 PM
Congratulations! In my opinion, this level of recognition is over-due. Reinforcement learning is dead, long live reinforcement learning!
Reposted by Alex Lewandowski
We just released extensive instructions for all the reviewing roles at @rl-conference.bsky.social; ranging from SAC to TR. We are trying something different here that we believe can be better.
To ensure we are open about it, we made those instructions public:
rl-conference.cc/reviewinstru...
To ensure we are open about it, we made those instructions public:
rl-conference.cc/reviewinstru...
RLC Review Instructions 2025
rl-conference.cc
January 26, 2025 at 2:10 AM
We just released extensive instructions for all the reviewing roles at @rl-conference.bsky.social; ranging from SAC to TR. We are trying something different here that we believe can be better.
To ensure we are open about it, we made those instructions public:
rl-conference.cc/reviewinstru...
To ensure we are open about it, we made those instructions public:
rl-conference.cc/reviewinstru...
Reposted by Alex Lewandowski
Come join us at Trinity College Dublin for the 6th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2025)
Abstract deadline January 15: rldm.org/submit
Abstract deadline January 15: rldm.org/submit
November 15, 2024 at 10:53 AM
Come join us at Trinity College Dublin for the 6th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2025)
Abstract deadline January 15: rldm.org/submit
Abstract deadline January 15: rldm.org/submit
Reposted by Alex Lewandowski
reinforcement learning
November 15, 2024 at 1:25 PM
reinforcement learning