Yevgen Chebotar

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (38) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧬 Topic Evolution 👥 Mega-Team · Legion 🧭 Keyword Pioneer 🤝 Dynamic Duo (16) 🌈 Renaissance Researcher (6) ⚡ Prolific Year · Productive 🚀 Conference Pioneer 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (88)

Venues

CoRL (6) ICML (5) NeurIPS (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)

Research topics

Reinforcement Learning (13) Machine Learning (12) Applications (10) Methods (8) Artificial Intelligence (7) Core AI (6) Deep Learning (5) Learning Types · Machine Learning (5) Application Areas (3) Architectures (3) Core Methods (3) Learning Types · Deep Learning (3) Robotics (2) Learning Paradigms (2) Optimization & Theory (2)

Keywords

offline reinforcement learning (6) robotic manipulation (4) large language model (3) multi-task learning (3) imitation learning (3) policy learning (3) support constraint (2) embodied ai (2) distributional shift (2) behavior policy (2) robot manipulation (2) distribution shift (2) generative adversarial network (2) mobile manipulator (2) deep reinforcement learning (2) value function (2) speech recognition (1) knowledge distillation (1) visual question answering (1) ensemble learning (1)

Papers

RT-H: Action Hierarchies using Language RSS 2024 Stop Regressing: Training Value Functions via Classification for Scalable Deep RL ICML 2024 Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators RSS 2023 PaLM-E: An Embodied Multimodal Language Model ICML 2023 Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions CoRL 2023 ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints NeurIPS 2023 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 DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning NeurIPS 2022 Do As I Can, Not As I Say: Grounding Language in Robotic Affordances CoRL 2022 How to Leverage Unlabeled Data in Offline Reinforcement Learning ICML 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 Conservative Data Sharing for Multi-Task Offline Reinforcement Learning NeurIPS 2021 Scaling Up Multi-Task Robotic Reinforcement Learning CoRL 2021 Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning ICML 2017 Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets NeurIPS 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