J. Bower
with Bunn · 2000–2001
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 9 researchers here, as inferred from the citation graph.
Whom J. Bower trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts J. Bower overall
- Rafal Weron
- Leigh Tesfatsion
- Christopher J. Day
- James Nicolaisen
- Ross Baldick
- William W. Hogan
- Benjamin F. Hobbs
- Valentin Petrov
- Anke Weidlich
- Jong-Shi Pang
Papers from J. Bower's perspective
Ordered by how strongly the researchers J. Bower trusts endorse each paper. Same corpus, a different order for every researcher.
- Introduction to Reinforcement Learning
- Residual Algorithms: Reinforcement Learning with Function Approximation
- Linear Least-Squares algorithms for temporal difference learning
- Dynamic Programming and Markov Processes
- Learning internal representations by error propagation
- Stable Function Approximation in Dynamic Programming
- Parallel and distributed computation
- Learning in embedded systems
- On the Convergence of Stochastic Iterative Dynamic Programming Algorithms
- Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning