← Authors

Yevgen Chebotar

20 papers · 2012–2024 · 6 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (6) πŸ—ΊοΈ Taxonomy Completionist (37) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (12) 🀝 Dynamic Duo (16) πŸ‘₯ Mega-Team (55) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (83) πŸ’Ž Century Club (20) ⚑ Prolific Year (6) πŸ“ˆ Trend Setter

Conferences

CORL (6) ICML (5) NIPS (4) RSS (3) EACL (1) INTERSPEECH (1)

Top co-authors

Sergey Levine (16) Karol Hausman (14) Ted Xiao (9) Chelsea Finn (8) Quan Vuong (7) Yao Lu (7) Alex Irpan (7) Alexander Herzog (6) Aviral Kumar (6) Fei Xia (6)

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