1233 search results - page 167 / 247 » Feudal Reinforcement Learning |
UM
2010
Springer
13 years 6 months ago
2010
Springer
Effective pedagogical strategies are important for e-learning environments. While it is assumed that an effective learning environment should craft and adapt its actions to the use...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
—In this paper we apply Coevolutionary Temporal Difference Learning (CTDL), a hybrid of coevolutionary search and reinforcement learning proposed in our former study, to evolve s...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Repair or error-recovery strategies are an important design issue in Spoken Dialogue Systems (SDSs) - how to conduct the dialogue when there is no progress (e.g. due to repeated A...
IROS
2008
IEEE
14 years 2 months ago
2008
IEEE
—Multi-robot reinforcement learning is a very challenging area due to several issues, such as large state spaces, difficulty in reward assignment, nondeterministic action selecti...
ECML
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...