Vladislav Kurenkov
12 papers · 2022–2026 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (17) π Interdisciplinary Bridge π£ Hot Topic Early Bird π Conference Polyglot (3) π Cross-Pollinator (12)
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Keyword Pioneer
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Dynamic Duo
(10)
π₯
Unstoppable
(5)
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Century Club
(11)
Conferences
ICML (6)
NIPS (4)
AAAI (1)
ICLR (1)
Top co-authors
Keywords
offline reinforcement learning
(5)
deep reinforcement learning
(4)
multi-task learning
(1)
policy evaluation
(1)
few-shot learning
(1)
imitation learning
(1)
policy optimization
(1)
self-supervised learning
(1)
policy learning
(1)
value iteration
(1)
scalable training
(1)
adaptive agent
(1)
meta-reinforcement learning
(1)
task distribution
(1)
uncertainty estimation
(1)
reinforcement learning benchmark
(1)
scalable computing
(1)
latent action
(1)
soft actor-critic
(1)
multi-task adaptation
(1)
Papers
Object-Centric Latent Action Learning
AAAI 2026
Latent Action Learning Requires Supervision in the Presence of Distractors
ICML 2025
Vintix: Action Model via In-Context Reinforcement Learning
ICML 2025
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
ICLR 2025
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
NIPS 2024
Emergence of In-Context Reinforcement Learning from Noise Distillation
ICML 2024
In-Context Reinforcement Learning for Variable Action Spaces
ICML 2024
Anti-Exploration by Random Network Distillation
ICML 2023
CORL: Research-oriented Deep Offline Reinforcement Learning Library
NIPS 2023
Katakomba: Tools and Benchmarks for Data-Driven NetHack
NIPS 2023
Revisiting the Minimalist Approach to Offline Reinforcement Learning
NIPS 2023
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters
ICML 2022