Leen-Kiat Soh
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 5 citations into it
Whom Leen-Kiat Soh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Joelle Pineau
- Dimitri P. Bertsekas
- David Silver
- Trey Smith
- Sam Devlin
- Andrew Y. Ng
- Stéphane Ross
- S. W. Ong
- Adhiraj Somani
Papers from Leen-Kiat Soh's perspective
Ordered by how strongly the researchers Leen-Kiat Soh trusts endorse each paper. Same corpus, a different order for every researcher.
- Heuristic Search Value Iteration for POMDPs
- Planning and Acting in Partially Observable Stochastic Domains
- Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
- Rollout Algorithms for Stochastic Scheduling Problems
- Point-based value iteration: an anytime algorithm for POMDPs
- Online Planning Algorithms for POMDPs
- Monte-Carlo Planning in Large POMDPs
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Reinforcement Learning: An Introduction
Their papers
- Potential-based reward shaping for finite horizon online POMDP planning (2016) — 39 citations