61 search results - page 9 / 13 » Market-Based Reinforcement Learning in Partially Observable ... |
ICML
2002
IEEE
14 years 8 months ago
2002
IEEE
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. This paper presents Recurrent Policy Gradients, a modelfree reinforcement learning (RL) method creating limited-memory stochastic policies for partially observable Markov...
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
— Neurophysiology has revealed the existence of mirror neurons in brain of macaque monkeys and they shows similar activities during executing an observation of goal directed move...
SIGECOM
2006
ACM
14 years 1 months ago
2006
ACM
In traditional game theory, players are typically endowed with exogenously given knowledge of the structure of the game—either full omniscient knowledge or partial but fixed in...