Dmitry Kalashnikov
14 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Pioneer
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Topic Evolution
π₯
Mega-Team Β· Legion
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(81)
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Renaissance Researcher
(5)
Top co-authors
Research topics
Artificial Intelligence
(8)
Reinforcement Learning
(8)
Applications
(8)
Machine Learning
(7)
Core AI
(7)
Deep Learning
(6)
Methods
(4)
Robotics
(3)
Architectures
(3)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Capabilities
(2)
Learning Types Β· Machine Learning
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Keywords
imitation learning
(3)
large language model
(2)
robotic manipulation
(2)
deep reinforcement learning
(2)
reinforcement learning
(2)
robotic grasping
(2)
offline reinforcement learning
(1)
multi-task learning
(1)
representation learning
(1)
domain adaptation
(1)
computer vision
(1)
self-supervised learning
(1)
attention mechanism
(1)
chain-of-thought reasoning
(1)
transfer learning
(1)
domain randomization
(1)
kernel approximation
(1)
model predictive control
(1)
image translation
(1)
vision transformer
(1)
Papers
Generating Robot Constitutions & Benchmarks for Semantic Safety
CoRL 2025
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING
ICML 2025
Predictive Red Teaming: Breaking Policies Without Breaking Robots
CoRL 2025
RT-1: Robotics Transformer for Real-World Control at Scale
RSS 2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
CoRL 2023
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
CoRL 2022
Hybrid Random Features
ICLR 2022
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation
CoRL 2022
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
ICML 2021
AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale
CoRL 2021
Scaling Up Multi-Task Robotic Reinforcement Learning
CoRL 2021
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
ICLR 2020
Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks
CVPR 2019
Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
CoRL 2018