Andrew Zimdars
Reinforcement Learning · 2003
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 11 citations into it
Whom Andrew Zimdars trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ben J. A. Kröse
- Gavin Adrian Rummery
- Peter Stone
- Andrew Y. Ng
- Ronald E. Parr
- Manuela M. Veloso
- Mahesan Niranjan
- Longxin Lin
- Thomas G. Dietterich
Who trusts Andrew Zimdars overall
Papers from Andrew Zimdars's perspective
Ordered by how strongly the researchers Andrew Zimdars trusts endorse each paper. Same corpus, a different order for every researcher.
- Feudal Reinforcement Learning
- Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
- On-line Q-learning using connectionist systems
- Algorithms for Inverse Reinforcement Learning
- Reinforcement Learning with Hierarchies of Machines
- Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
- Learning from delayed rewards
- Computing Factored Value Functions for Policies in Structured MDPs
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
Their papers
- Q-Decomposition for Reinforcement Learning Agents (2003) — 202 citations