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Tianhe Yu

27 papers · 2017–2025 · 7 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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+12 more ↓ πŸ—ΊοΈ Taxonomy Completionist (42) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🧬 Topic Evolution 🧭 Keyword Pioneer 🀝 Dynamic Duo (21) πŸ‘₯ Mega-Team Β· Legion ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer 🌈 Renaissance Researcher (5) πŸ—ƒοΈ Keyword Collector (118)

Venues

NeurIPS (8) CoRL (7) RSS (4) ICML (3) ICLR (2) L4DC (2) AAAI (1)

Top co-authors

Chelsea Finn (21) Sergey Levine (13) Karol Hausman (12) Fei Xia (6) Yevgen Chebotar (6) Aviral Kumar (5) brian ichter (5) Quan Vuong (4) Rafael Rafailov (4) Ted Xiao (4)

Research topics

Machine Learning (17) Reinforcement Learning (15) Artificial Intelligence (13) Methods (13) Learning Types Β· Machine Learning (9) Applications (8) Core AI (8) Deep Learning (7) Learning Paradigms Β· Artificial Intelligence (6) Learning Types Β· Deep Learning (5) Robotics (4) Application Areas (4) Capabilities (4) Core Methods (3) Learning Paradigms Β· Machine Learning (3)

Keywords

offline reinforcement learning (9) multi-task learning (7) model-based reinforcement learning (4) imitation learning (4) robot manipulation (3) policy optimization (3) robotic control (2) representation learning (2) distributional shift (2) reward function (2) few-shot learning (2) distribution shift (2) latent variable model (2) policy learning (2) robotic manipulation (2) reinforcement learning (2) deep reinforcement learning (2) data augmentation (2) task generalization (2) neural network (2)

Papers

RRM: Robust Reward Model Training Mitigates Reward Hacking ICLR 2025 RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches CoRL 2024 Video Language Planning ICLR 2024 What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? CoRL 2024 Contrastive Example-Based Control L4DC 2023 Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching AAAI 2023 PaLM-E: An Embodied Multimodal Language Model ICML 2023 Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions CoRL 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 Scaling Robot Learning with Semantically Imagined Experience RSS 2023 How to Leverage Unlabeled Data in Offline Reinforcement Learning ICML 2022 LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning NeurIPS 2022 Offline Reinforcement Learning at Multiple Frequencies CoRL 2022 COMBO: Conservative Offline Model-Based Policy Optimization NeurIPS 2021 Conservative Data Sharing for Multi-Task Offline Reinforcement Learning NeurIPS 2021 Efficiently Identifying Task Groupings for Multi-Task Learning NeurIPS 2021 Offline Reinforcement Learning from Images with Latent Space Models L4DC 2021 Visual Adversarial Imitation Learning using Variational Models NeurIPS 2021 Gradient Surgery for Multi-Task Learning NeurIPS 2020 MOPO: Model-based Offline Policy Optimization NeurIPS 2020 On the Expressivity of Neural Networks for Deep Reinforcement Learning ICML 2020 Meta-Inverse Reinforcement Learning with Probabilistic Context Variables NeurIPS 2019 Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning CoRL 2019 Unsupervised Visuomotor Control through Distributional Planning Networks RSS 2019 One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning RSS 2018 One-Shot Visual Imitation Learning via Meta-Learning CoRL 2017