43 search results - page 2 / 9 » Decentralized Learning in Markov Games |
ICML
1994
IEEE
13 years 9 months ago
1994
IEEE
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
ATAL
2008
Springer
13 years 7 months ago
2008
Springer
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
IDEAL
2004
Springer
13 years 10 months ago
2004
Springer
The main aim of this paper is to extend the single-agent policy gradient method for multiagent domains where all agents share the same utility function. We formulate these team pro...
ATAL
2010
Springer
13 years 6 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 ...
ATAL
2008
Springer
13 years 7 months ago
2008
Springer
In this paper we address the problem of coordination in multi-agent sequential decision problems with infinite statespaces. We adopt a game theoretic formalism to describe the int...