374 search results - page 24 / 75 » Multiagent Reinforcement Learning: Theoretical Framework and... |
COLT
1994
Springer
13 years 11 months ago
1994
Springer
Realistic domains for learning possess regularities that make it possible to generalize experience across related states. This paper explores an environment-modeling framework tha...
ATAL
2004
Springer
14 years 1 months ago
2004
Springer
Single-agent reinforcement learners in time-extended domains and multi-agent systems share a common dilemma known as the credit assignment problem. Multi-agent systems have the st...
ICML
2002
IEEE
14 years 8 months ago
2002
IEEE
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
ILP
1997
Springer
13 years 12 months ago
1997
Springer
Abstract. We present a logical approach to graph theoretical learning that is based on using alphabetic substitutions for modelling graph morphisms. A classi ed graph is represente...
IJCAI
2007
13 years 9 months ago
2007
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...