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ATAL
2004
Springer
15 years 11 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
AI50
2006
15 years 10 months ago
Development Via Information Self-structuring of Sensorimotor Experience and Interaction
actvoid.se Abstract. We describe how current work in Artificial Intelligence is using rigorous tools from information theory, namely information distance and experience distance to...
Chrystopher L. Nehaniv, Naeem Assif Mirza, Lars Ol...
ATAL
2007
Springer
15 years 10 months ago
On discovery and learning of models with predictive representations of state for agents with continuous actions and observations
Models of agent-environment interaction that use predictive state representations (PSRs) have mainly focused on the case of discrete observations and actions. The theory of discre...
David Wingate, Satinder P. Singh
AGENTS
1997
Springer
15 years 10 months ago
COLLAGEN: When Agents Collaborate with People
We take the position that autonomous agents, when they interact with people, should be governed by the same principles that underlie human collaboration. These principles come fro...
Charles Rich, Candace L. Sidner
AAMAS
2007
Springer
16 years 14 days ago
Networks of Learning Automata and Limiting Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
Peter Vrancx, Katja Verbeeck, Ann Nowé