Emilio Parisotto
8 papers · 2018–2023 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer
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Conference Polyglot
(3)
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Academic Marathon
(5)
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Cross-Pollinator
(7)
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Trend Setter
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Conference Pioneer
Conferences
ICLR (4)
ICML (3)
NIPS (1)
Top co-authors
Keywords
reinforcement learning
(3)
policy gradient
(2)
sequence modeling
(2)
in-context learning
(1)
robust statistics
(1)
value iteration
(1)
robust estimation
(1)
state space model
(1)
recurrent neural network
(1)
heavy-tailed distribution
(1)
gradient clipping
(1)
heavy-tailed gradient
(1)
proximal policy optimization
(1)
parallel training
(1)
value iteration network
(1)
recurrent convolution
(1)
gated recurrent update
(1)
end-to-end differentiation
(1)
gated transformer
(1)
memory environment
(1)
Papers
Structured State Space Models for In-Context Reinforcement Learning
NIPS 2023
In-context Reinforcement Learning with Algorithm Distillation
ICLR 2023
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
ICLR 2021
On Proximal Policy Optimizationβs Heavy-tailed Gradients
ICML 2021
Stabilizing Transformers for Reinforcement Learning
ICML 2020
Active Neural Localization
ICLR 2018
Gated Path Planning Networks
ICML 2018
Neural Map: Structured Memory for Deep Reinforcement Learning
ICLR 2018