Yevgen Chebotar
20 papers · 2012–2024 · 6 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (12)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🏃
Academic Marathon
(12)
🤝
Dynamic Duo
(16)
👥
Mega-Team
(55)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
🚀
Conference Pioneer
🗃️
Keyword Collector
(83)
💎
Century Club
(20)
⚡
Prolific Year
(6)
📈
Trend Setter
Conferences
CORL (6)
ICML (5)
NIPS (4)
RSS (3)
EACL (1)
INTERSPEECH (1)
Top co-authors
Keywords
offline reinforcement learning
(6)
robotic manipulation
(4)
imitation learning
(3)
multi-task learning
(3)
policy learning
(3)
large language model
(3)
support constraint
(2)
distribution shift
(2)
distributional shift
(2)
behavior policy
(2)
mobile manipulator
(2)
embodied ai
(2)
deep reinforcement learning
(2)
robot manipulation
(2)
generative adversarial network
(2)
speech recognition
(1)
knowledge distillation
(1)
visual question answering
(1)
ensemble learning
(1)
representation learning
(1)
Papers
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
ICML 2024
RT-H: Action Hierarchies using Language
RSS 2024
ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints
NIPS 2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
CORL 2023
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
RSS 2023
RT-1: Robotics Transformer for Real-World Control at Scale
RSS 2023
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
CORL 2023
PaLM-E: An Embodied Multimodal Language Model
ICML 2023
How to Leverage Unlabeled Data in Offline Reinforcement Learning
ICML 2022
DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning
NIPS 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
CORL 2022
Inner Monologue: Embodied Reasoning through Planning with Language Models
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
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
NIPS 2021
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
NIPS 2017
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
ICML 2017
Distilling Knowledge from Ensembles of Neural Networks for Speech Recognition
INTERSPEECH 2016
Behind the Article: Recognizing Dialog Acts in Wikipedia Talk Pages
EACL 2012