Here’s Pedro at yet another international conference! 🙌✨
GAIPS member Pedro P. Santos presented “Centralized training with hybrid execution in multi-agent reinforcement learning via predictive observation imputation” at #AAAI2026, Singapore 🇸🇬
📄 Check out his paper: doi.org/10.1016/j.ar...
GAIPS member Pedro P. Santos presented “Centralized training with hybrid execution in multi-agent reinforcement learning via predictive observation imputation” at #AAAI2026, Singapore 🇸🇬
📄 Check out his paper: doi.org/10.1016/j.ar...
January 30, 2026 at 5:02 PM
Here’s Pedro at yet another international conference! 🙌✨
GAIPS member Pedro P. Santos presented “Centralized training with hybrid execution in multi-agent reinforcement learning via predictive observation imputation” at #AAAI2026, Singapore 🇸🇬
📄 Check out his paper: doi.org/10.1016/j.ar...
GAIPS member Pedro P. Santos presented “Centralized training with hybrid execution in multi-agent reinforcement learning via predictive observation imputation” at #AAAI2026, Singapore 🇸🇬
📄 Check out his paper: doi.org/10.1016/j.ar...
Attending the #FAST workshop at @aaai.org #AAAI2026. Looking forward to insightful conversations about how to build #IntelligentAgents in the era of large foundation models.
January 27, 2026 at 1:02 AM
Attending the #FAST workshop at @aaai.org #AAAI2026. Looking forward to insightful conversations about how to build #IntelligentAgents in the era of large foundation models.
If you are interested in reinforcement learning or reinforcement learning training of language models, this might spark your interest!
✨See my new paper on scaling, capacity and complexity of reinforcement learning published at #AAAI2026 ! @aaai.org
#AAAI #AAAI26 #ReinforcementLearning #DeepRL
✨See my new paper on scaling, capacity and complexity of reinforcement learning published at #AAAI2026 ! @aaai.org
#AAAI #AAAI26 #ReinforcementLearning #DeepRL
January 27, 2026 at 12:20 AM
🚨 Spotlight Talk @ AAAI 2026
Our work on biologically interpretable pattern separation using unsupervised Hebbian learning was selected as a spotlight talk at the AAAI workshop on Neuro for AI & AI for Neuro 🎉
🗓 Jan 27 · 📍 Singapore EXPO
#AAAI2026 #NeuroAI #CompNeuro
Our work on biologically interpretable pattern separation using unsupervised Hebbian learning was selected as a spotlight talk at the AAAI workshop on Neuro for AI & AI for Neuro 🎉
🗓 Jan 27 · 📍 Singapore EXPO
#AAAI2026 #NeuroAI #CompNeuro
January 25, 2026 at 8:35 AM
🚨 Spotlight Talk @ AAAI 2026
Our work on biologically interpretable pattern separation using unsupervised Hebbian learning was selected as a spotlight talk at the AAAI workshop on Neuro for AI & AI for Neuro 🎉
🗓 Jan 27 · 📍 Singapore EXPO
#AAAI2026 #NeuroAI #CompNeuro
Our work on biologically interpretable pattern separation using unsupervised Hebbian learning was selected as a spotlight talk at the AAAI workshop on Neuro for AI & AI for Neuro 🎉
🗓 Jan 27 · 📍 Singapore EXPO
#AAAI2026 #NeuroAI #CompNeuro
Shift toward using LLMs for both predictions and natural-language explanations is a game-changer for transparency. Seeing impressive results from "TWICE-Rec" on generating high-quality rationales across diverse domains like fashion and scientific research. #AAAI2026 @aaai.org
January 24, 2026 at 4:41 PM
watched Ed Feigenbaum talk at #AAAI2026 and apparently the way he got into AI research was kinda like mine --- got bored as an elec. eng. freshman, took a class on "Ideas & Social Change", which led to studying with Herbert Simon on Math. Models in the Social Sciences, and hence, AI!
January 24, 2026 at 10:59 AM
watched Ed Feigenbaum talk at #AAAI2026 and apparently the way he got into AI research was kinda like mine --- got bored as an elec. eng. freshman, took a class on "Ideas & Social Change", which led to studying with Herbert Simon on Math. Models in the Social Sciences, and hence, AI!
#AAAI2026 social media round up: part 1 - ΑΙhub
aihub.org
January 24, 2026 at 2:11 AM