← Authors

Yuping Luo

9 papers · 2019–2021 · 3 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer

Conferences

NIPS (4) ICLR (3) ICML (2)

Top co-authors

Tengyu Ma (5) Sanjeev Arora (2) Huazhe Xu (2) Hanrui Zhang (1) Yuandong Tian (1) Nikunj Saunshi (1) Wei Hu (1) Kaifeng Lyu (1) Garrett Thomas (1) Chelsea Finn (1)

Keywords

safe reinforcement learning (2) model-based planning (1) representation learning (1) reinforcement learning (1) imitation learning (1) policy optimization (1) matrix factorization (1) function approximation (1) sample complexity (1) policy learning (1) adversarial training (1) behavior cloning (1) markov decision process (1) gradient descent (1) continuous control (1) model-based reinforcement learning (1) distribution shift (1) linear function approximation (1) optimal policy (1) low-rank recovery (1)

Papers

Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning ICLR 2021
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations NIPS 2021
Safe Reinforcement Learning by Imagining the Near Future NIPS 2021
Provable Representation Learning for Imitation Learning via Bi-level Optimization ICML 2020
On the Expressivity of Neural Networks for Deep Reinforcement Learning ICML 2020
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling ICLR 2020
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees ICLR 2019
Implicit Regularization in Deep Matrix Factorization NIPS 2019
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle NIPS 2019