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Tianhe Yu

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

Achievements

πŸƒ Academic Marathon (8) 🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (9) πŸ—ΊοΈ Taxonomy Completionist (38) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (21) 🌱 Topic Pioneer πŸ† Grand Slam πŸ‘₯ Mega-Team (55) 🧬 Topic Evolution ❓ The Questioner πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (100) πŸ’Ž Century Club (27) πŸ”₯ 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