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» Feudal Reinforcement Learning
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ML
2000
ACM
133views Machine Learning» more  ML 2000»
15 years 1 months ago
Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms
Satinder P. Singh, Tommi Jaakkola, Michael L. Litt...
195
Voted
ICAART
2010
INSTICC
15 years 11 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis
ATAL
2004
Springer
15 years 7 months ago
Time-Extended Policies in Multi-Agent Reinforcement Learning
Many algorithms such as Q-learning successfully address reinforcement learning in single-agent multi-time-step problems. In addition there are methods that address reinforcement l...
Kagan Tumer, Adrian K. Agogino
ACMSE
2010
ACM
14 years 12 months ago
Generating three binary addition algorithms using reinforcement programming
Reinforcement Programming (RP) is a new technique for automatically generating a computer program using reinforcement learning methods. This paper describes how RP learned to gene...
Spencer K. White, Tony R. Martinez, George L. Rudo...
102
Voted
ATAL
2004
Springer
15 years 7 months ago
From Global Selective Perception to Local Selective Perception
This paper presents a reinforcement learning algorithm used to allocate tasks to agents in an uncertain real-time environment. In such environment, tasks have to be analyzed and a...
Sébastien Paquet, Nicolas Bernier, Brahim C...