Andrey Kolobov
19 papers · 2015–2025 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(12)
Artificial Intelligence
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Reinforcement Learning
(11)
Core AI
(9)
Learning Types Β· Machine Learning
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Methods
(8)
Deep Learning
(4)
Robotics
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Keywords
reinforcement learning
(5)
online learning
(3)
representation learning
(2)
policy gradient
(2)
offline reinforcement learning
(2)
policy optimization
(2)
vision-language model
(2)
web crawling
(2)
few-shot learning
(1)
sim-to-real transfer
(1)
semi-supervised learning
(1)
robotic manipulation
(1)
transfer learning
(1)
change detection
(1)
imitation learning
(1)
benchmark evaluation
(1)
self-supervised learning
(1)
visual question answering
(1)
embodied ai
(1)
curriculum learning
(1)
Papers
Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning
ICLR 2025
SITE: towards Spatial Intelligence Thorough Evaluation
ICCV 2025
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies
ICLR 2025
Improving Offline RL by Blending Heuristics
ICLR 2024
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control
ICML 2024
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control
CoRL 2023
PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining
CoRL 2023
Survival Instinct in Offline Reinforcement Learning
NeurIPS 2023
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL
ICLR 2022
MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control
NeurIPS 2022
Heuristic-Guided Reinforcement Learning
NeurIPS 2021
MultiPoint: Cross-spectral registration of thermal and optical aerial imagery
CoRL 2020
Online Learning for Active Cache Synchronization
ICML 2020
Policy Improvement via Imitation of Multiple Oracles
NeurIPS 2020
Safe Reinforcement Learning via Curriculum Induction
NeurIPS 2020
Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling
NeurIPS 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