Andrey Kolobov
19 papers · 2015–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (5) 🌍 Conference Polyglot (7) 🏃 Academic Marathon (10) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7)
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Conference Polyglot
(7)
🏃
Academic Marathon
(10)
🐝
Cross-Pollinator
(5)
💎
Century Club
(19)
🗃️
Keyword Collector
(67)
📈
Trend Setter
🔥
Unstoppable
(8)
Conferences
NIPS (6)
ICLR (4)
CORL (3)
ICML (2)
IJCAI (2)
ICCV (1)
RSS (1)
Top co-authors
Keywords
reinforcement learning
(4)
online learning
(3)
web crawling
(2)
policy optimization
(2)
vision-language model
(2)
few-shot learning
(1)
semi-supervised learning
(1)
representation learning
(1)
imitation learning
(1)
benchmark evaluation
(1)
robotic manipulation
(1)
transfer learning
(1)
change detection
(1)
policy gradient
(1)
embodied ai
(1)
visual question answering
(1)
curriculum learning
(1)
optimal control
(1)
motion capture
(1)
offline reinforcement learning
(1)
Papers
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies
ICLR 2025
Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning
ICLR 2025
SITE: towards Spatial Intelligence Thorough Evaluation
ICCV 2025
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control
ICML 2024
Improving Offline RL by Blending Heuristics
ICLR 2024
PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining
CORL 2023
Survival Instinct in Offline Reinforcement Learning
NIPS 2023
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control
CORL 2023
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL
ICLR 2022
MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control
NIPS 2022
Heuristic-Guided Reinforcement Learning
NIPS 2021
Online Learning for Active Cache Synchronization
ICML 2020
Safe Reinforcement Learning via Curriculum Induction
NIPS 2020
Policy Improvement via Imitation of Multiple Oracles
NIPS 2020
MultiPoint: Cross-spectral registration of thermal and optical aerial imagery
CORL 2020
Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling
NIPS 2019
Autonomous Thermalling as a Partially Observable Markov Decision Process
RSS 2018
Interactive Teaching Strategies for Agent Training
IJCAI 2016
Metareasoning for Planning Under Uncertainty
IJCAI 2015