Michael Luo

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Luo trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Sergey Levine (in Artificial Intelligence)
  2. Pieter Abbeel (in Artificial Intelligence)

Papers from Michael Luo's perspective

Ordered by how strongly the researchers Michael Luo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  2. Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor (International Conference on Machine Learning)
  3. QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
  4. Constrained Policy Optimization
  5. Constrained Markov Decision Processes
  6. Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
  7. Soft Actor-Critic Algorithms and Applications
  8. Risk-Sensitive Reinforcement Learning Applied to Control under Constraints
  9. Safe Model-based Reinforcement Learning with Stability Guarantees
  10. Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control

Their papers