Show Notes
Sharath Chandra Raparthy on In-Context Learning for Sequential Decision Tasks, GFlowNets, and more! Sharath Chandra Raparthy is an AI Resident at FAIR at Meta, and did his Master's at Mila.
Featured Reference
Generalization to New Sequential Decision Making Tasks with In-Context Learning Sharath Chandra Raparthy , Eric Hambro, Robert Kirk , Mikael Henaff, , Roberta Raileanu
Additional References Sharath Chandra Raparthy Homepage Human-Timescale Adaptation in an Open-Ended Task Space, Adaptive Agent Team 2023 Data Distributional Properties Drive Emergent In-Context Learning in Transformers, Chan et al 2022 Decision Transformer: Reinforcement Learning via Sequence Modeling, Chen et al 2021
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Danijar Hafner was a Research Scientist at Google DeepMind until recently.
David Abel is a Senior Research Scientist at DeepMind on the Agency team, and an Honorary Fellow at the University of Edinburgh. His research blends computer science and philosophy, exploring foundational questions about reinforcement learning, definitions, and the nature of agency.
Recorded at Reinforcement Learning Conference 2025 at University of Alberta, Edmonton Alberta Canada. Featured References
We caught up with the RLC Outstanding Paper award winners for your listening pleasure. Recorded on location at Reinforcement Learning Conference 2025, at University of Alberta, in Edmonton Alberta Canada in August 2025. Featured References