267 search results - page 22 / 54 » The Dynamics of Multi-Agent Reinforcement Learning |
ATAL
2010
Springer
14 years 10 months ago
2010
Springer
Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous ...
NIPS
1996
14 years 11 months ago
1996
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
104
Voted
ATAL
2010
Springer
14 years 10 months ago
2010
Springer
In open, dynamic multi-agent systems, agents may form short-term ad-hoc groups, such as coalitions, in order to meet their goals. Trust and reputation are crucial concepts in thes...
CAMP
2005
IEEE
15 years 3 months ago
2005
IEEE
— For a peer-to-peer (P2P) system holding massive amount of data, an efficient and scalable search for resource sharing is a key determinant to its practical usage. Unstructured...
81
Voted
ESAW
2008
Springer
14 years 11 months ago
2008
Springer
Reactive multi-agent systems present global behaviours uneasily linked to their local dynamics. When it comes to controlling such a system, usual analytical tools are difficult to ...