Tentative lineup
Standard RL assumes a stable world. The real world may not.
♾ Introducing the Continual RL Workshop @rl-conference.bsky.social 2026, Montreal, Canada.
🤖 Agents that learn, adapt, and evolve under constant change.
🖼️ Site: sites.google.com/view/continu...
📄 Submit: sites.google.com/view/continu...
1 week ago
10
1
1
3
We have the keynote speakers for RLC2026 now!
Thrilled to welcome Rika Antonova, Sheila McIlraith, Marc G. Bellemare, Danijar Hafner, Balaraman Ravindran!
Details: rl-conference.cc/index.html
The RL community is coming together this August in Montréal, Québec, Canada. Hope you make it!
3 weeks ago
22
10
0
3
Talk recordings from our CoSyNe 2026 workshop on Agent-based Models in Neuroscience are now online!
Playlist: www.youtube.com/playlist?lis...
RL agents and theory, interoception, biomechanical models connectome-constrained models, and more.
#CoSyNe #NeuroAI #CompNeuro #RL #EmbodiedAI
3 weeks ago
23
5
1
0
Cosyne 2026 - Cosyne Tutorial: Comparative Analysis of Neural Population Codes
YouTube video by Cosyne Talks
Cosyne invited me to give a long tutorial (4 hours!) on methods to quantify differences high-d neural recordings across animals, brain regions, deep neural nets, etc.
The recording is up on youtube. I hope it inspires more research on this fundamental topic!
www.youtube.com/watch?v=n44x...
1 month ago
160
56
3
1
Coming to @cosynemeeting.bsky.social for the third consecutive year now as a young researcher. First was exposure, second was following and a dive into the niche, now as a presenter sharing the work I genuinely love for its beauty and the field's in connecting so many interesting dots..
1 month ago
5
1
0
0
Thanks to everyone who stopped by and for your interest in dopamine and RL!
1 month ago
3
0
0
0
With some trepidation, I'm putting this out into the world:
gershmanlab.com/textbook.html
It's a textbook called Computational Foundations of Cognitive Neuroscience, which I wrote for my class.
My hope is that this will be a living document, continuously improved as I get feedback.
3 months ago
591
238
16
10
RLJ | RLC Call for Papers
Hi RL Enthusiasts!
RLC is coming to Montreal, Quebec, in the summer: Aug 16–19, 2026!
Call for Papers is up now:
Abstract: Mar 1 (AOE)
Submission: Mar 5 (AOE)
Excited to see what you’ve been up to - Submit your best work!
rl-conference.cc/callforpaper...
Please share widely!
3 months ago
62
29
1
9
Advertisement
How I contributed to rejecting one of my favorite papers of all time
I believe we should talk about the mistakes we make.
How I contributed to rejecting one of my favorite papers of all times, Yes, I teach it to students daily, and refer to it in lots of papers. Sorry. open.substack.com/pub/kording/...
4 months ago
119
28
1
10
I am recruiting graduate students for the experimental side of my lab @mcgill.ca for admission in Fall 2026!
Get in touch if you're interested in how brain circuits implement distributed computation, including dopamine-based distributed RL and probabilistic representations.
5 months ago
37
30
1
0
Subsecond dopamine fluctuations do not specify the vigor of ongoing actions
Nature Neuroscience - Liu and colleagues show that the vigor (that is, speed and amplitude) of dexterous movements is not controlled by ongoing fluctuations in extracellular dopamine within the...
Delighted to see this finally out: rdcu.be/eO9oW
We tested whether brief striatal dopamine release events influence the vigor of skilled movements. Despite popular belief, we did not find any evidence linking rapid dopamine dynamics to motor vigor on a moment-by-moment basis.
5 months ago
75
24
9
0
First paper from the lab!
We propose a model that separates estimation of odor concentration and presence and map it on olfactory bulb circuits
Led by @chenjiang01.bsky.social and @mattyizhenghe.bsky.social joint work with @jzv.bsky.social and with @neurovenki.bsky.social @cpehlevan.bsky.social
5 months ago
36
13
2
1
Excited to share that our work ‘Simultaneous detection and estimation in olfactory sensing’ with @mattyizhenghe.bsky.social, @neurovenki.bsky.social , @cpehlevan.bsky.social, @jzv.bsky.social and @paulmasset.bsky.social has been launched!
1/7
5 months ago
12
4
1
1
This is one of the most outstanding examples of circuit understanding I've seen in a long time. The unification of theory and experiment is beautiful.
When Malcolm presented this in my lab, the audience was cheering at the end, and one person shouted (non-ironically) "You did it!"
7 months ago
106
21
5
0
🚨Our preprint is online!🚨
www.biorxiv.org/content/10.1...
How do #dopamine neurons perform the key calculations in reinforcement #learning?
Read on to find out more! 🧵
7 months ago
198
71
11
4
Advertisement
Thanks for sharing this exciting work! It seems the author's link has expired, so maybe it's worth updating? (Was able to find the paper myself 🙂)
7 months ago
0
0
0
0
Yes, finally! The bookmarking button is here for caching of both existing and future posts.
7 months ago
1
0
0
0
My biggest skill/life gains come when I’m unconscious of the external metering. Heavy reliance on external reward signals, neglecting the intrinsic drives and non-reward returns hamper long-horizon success in complex real life setting - a lose hypothesis - and what in part motivates #scicomm :)
7 months ago
3
0
1
0
Where do some of Reinforcement Learning's great thinkers stand today?
Find out! Keynotes of the RL Conference are online:
www.youtube.com/playlist?lis...
Wanting vs liking, Agent factories, Theoretical limit of LLMs, Pluralist value, RL teachers, Knowledge flywheels
(guess who talked about which!)
7 months ago
76
24
1
1
It's a comprehensive examination across Marr's three levels - in conjunction with chapters on dopamine and psychiatric conditions - as Prof. @PeterDayan describes in the opening perspective, for 'the most important and most elusive molecule in the brain.'
8 months ago
0
0
0
0
What's even better than a great review is a volume of them! So excited to learn that The Handbook of Dopamine is out!
8 months ago
1
0
1
0
Multi-timescale reinforcement learning in the brain - Nature
Individual dopaminergic neurons encode future rewards over distinct temporal horizons.
Our work with Pablo Tano, @hyunggoo-kim.bsky.social Athar Malik, Alexandre Pouget and @naoshigeuchida.bsky.social exploring how dopamine neurons could enable multi-timescale reinforcement learning in the brain is out in @nature.com
www.nature.com/articles/s41...
10 months ago
111
45
8
2
Multi-timescale reinforcement learning in the brain - Nature
Individual dopaminergic neurons encode future rewards over distinct temporal horizons.
Two papers out today on RL in the dopaminergic neurons of the midbrain of mice (one from McGill's new PI @paulmasset.bsky.social). Both papers demonstrate heterogeneity in discount factors!
www.nature.com/articles/s41...
nature.com/articles/s41...
🧠📈 🧪 #NeuroAI
10 months ago
83
26
2
2
Advertisement
Honoured to have been selected as a #SloanFellow
Thankful for all the support from family, mentors, collaborators, colleagues and students along the way!
@sloanfoundation.bsky.social
1 year ago
48
9
3
0
What a great thread! Repost for bookmarking. A real bookmarking button is needed here as great content and convo are emerging at scale now.
1 year ago
1
0
0
1
I am recruiting graduate students for my lab @mcgillu.bsky.social for admission in Fall 2025! Get in touch if you're interested in how brain circuits implement distributed computation, including dopamine-based distributed RL and probabilistic representations.
1 year ago
42
27
1
6