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← Authors

Tianhe Yu

27 papers · 2017–2025 · 7 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+15 more ↓ 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🏃 Academic Marathon (8)
🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (21) 🌱 Topic Pioneer 🏆 Grand Slam 👥 Mega-Team (55) 🧬 Topic Evolution ❓ The Questioner 🚀 Conference Pioneer ⚡ Prolific Year (5) 📈 Trend Setter 🗃️ Keyword Collector (100) 💎 Century Club (27) 🔥 Unstoppable (9)

Conferences

NIPS (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)

Keywords

offline reinforcement learning (9) multi-task learning (7) model-based reinforcement learning (4) policy optimization (3) imitation learning (3) reward function (2) distributional shift (2) policy learning (2) robot manipulation (2) latent variable model (2) representation learning (2) task generalization (2) neural network (2) robotic manipulation (2) reinforcement learning (2) robotic control (2) deep reinforcement learning (2) visual observation (1) contrastive learning (1) few-shot learning (1)

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 Scaling Robot Learning with Semantically Imagined Experience RSS 2023 RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control CORL 2023 Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions CORL 2023 Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching AAAI 2023 PaLM-E: An Embodied Multimodal Language Model ICML 2023 Contrastive Example-Based Control L4DC 2023 RT-1: Robotics Transformer for Real-World Control at Scale RSS 2023 Offline Reinforcement Learning at Multiple Frequencies CORL 2022 How to Leverage Unlabeled Data in Offline Reinforcement Learning ICML 2022 LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning NIPS 2022 Visual Adversarial Imitation Learning using Variational Models NIPS 2021 Efficiently Identifying Task Groupings for Multi-Task Learning NIPS 2021 COMBO: Conservative Offline Model-Based Policy Optimization NIPS 2021 Offline Reinforcement Learning from Images with Latent Space Models L4DC 2021 Conservative Data Sharing for Multi-Task Offline Reinforcement Learning NIPS 2021 On the Expressivity of Neural Networks for Deep Reinforcement Learning ICML 2020 Gradient Surgery for Multi-Task Learning NIPS 2020 MOPO: Model-based Offline Policy Optimization NIPS 2020 Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning CORL 2019 Unsupervised Visuomotor Control through Distributional Planning Networks RSS 2019 Meta-Inverse Reinforcement Learning with Probabilistic Context Variables NIPS 2019 One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning RSS 2018 One-Shot Visual Imitation Learning via Meta-Learning CORL 2017