Hoong Chuin Lau

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hoong Chuin Lau trusts overall

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

  1. Richard S. Sutton
  2. David E. Goldberg
  3. Gerhard Reinelt
  4. Doina Precup
  5. Marco A. Wiering
  6. Andrew Barto
  7. Pieter Vansteenwegen
  8. Damianos Gavalas
  9. Richard D. McKelvey

Papers from Hoong Chuin Lau's perspective

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

  1. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  2. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  3. Maximum Entropy Inverse Reinforcement Learning
  4. Temporal abstraction in reinforcement learning
  5. Recent Advances in Hierarchical Reinforcement Learning
  6. Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor (International Conference on Machine Learning)
  7. Genetic Algorithms in Search Optimization and Machine Learning
  8. Reinforcement Learning with Deep Energy-Based Policies
  9. Reinforcement Learning: An Introduction
  10. Gradient-based learning applied to document recognition

Their papers