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» Programmable Reinforcement Learning Agents
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ATAL
2010
Springer
13 years 9 months ago
Combining manual feedback with subsequent MDP reward signals for reinforcement learning
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
W. Bradley Knox, Peter Stone
AAAI
2010
13 years 9 months ago
Bayesian Policy Search for Multi-Agent Role Discovery
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Aaron Wilson, Alan Fern, Prasad Tadepalli
AGENTS
2001
Springer
14 years 1 months ago
Using background knowledge to speed reinforcement learning in physical agents
This paper describes Icarus, an agent architecture that embeds a hierarchical reinforcement learning algorithm within a language for specifying agent behavior. An Icarus program e...
Daniel G. Shapiro, Pat Langley, Ross D. Shachter
ATAL
2006
Springer
14 years 9 days ago
Improving reinforcement learning with context detection
Bruno Castro da Silva, Eduardo W. Basso, Filipo St...
AAAI
2006
13 years 10 months ago
RL-CD: Dealing with Non-Stationarity in Reinforcement Learning
Bruno Castro da Silva, Eduardo W. Basso, Ana L. C....