Sergey Kolesnikov
9 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Reinforcement Learning
(8)
Methods
(8)
Artificial Intelligence
(5)
Core AI
(4)
Machine Learning
(3)
Applications
(3)
Deep Learning
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms · Machine Learning
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
offline reinforcement learning
(5)
deep reinforcement learning
(4)
uncertainty estimation
(2)
temporal difference learning
(1)
few-shot learning
(1)
fisher information
(1)
policy evaluation
(1)
bayesian inference
(1)
in-context learning
(1)
policy learning
(1)
transformer
(1)
laplace approximation
(1)
generalization
(1)
value iteration
(1)
scalable training
(1)
policy optimization
(1)
out-of-distribution detection
(1)
adaptive agent
(1)
meta-reinforcement learning
(1)
multi-task learning
(1)
Papers
Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection
WACV 2025
Emergence of In-Context Reinforcement Learning from Noise Distillation
ICML 2024
In-Context Reinforcement Learning for Variable Action Spaces
ICML 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
NeurIPS 2024
Anti-Exploration by Random Network Distillation
ICML 2023
CORL: Research-oriented Deep Offline Reinforcement Learning Library
NeurIPS 2023
Katakomba: Tools and Benchmarks for Data-Driven NetHack
NeurIPS 2023
Revisiting the Minimalist Approach to Offline Reinforcement Learning
NeurIPS 2023
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters
ICML 2022