1233 search results - page 211 / 247 » Feudal Reinforcement Learning |
150
Voted
CIMCA
2008
IEEE
15 years 10 months ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
123
Voted
ESANN
2007
15 years 5 months ago
2007
In this paper, we investigate motor primitive learning with the Natural Actor-Critic approach. The Natural Actor-Critic consists out of actor updates which are achieved using natur...
111
Voted
AIPS
2008
15 years 5 months ago
2008
Planning problems are often formulated as heuristic search. The choice of the heuristic function plays a significant role in the performance of planning systems, but a good heuris...
129
Voted
AAAI
2010
15 years 5 months ago
2010
Due to the non-stationary environment, learning in multi-agent systems is a challenging problem. This paper first introduces a new gradient-based learning algorithm, augmenting th...
158
Voted
NIPS
2008
15 years 5 months ago
2008
Actor-critic algorithms for reinforcement learning are achieving renewed popularity due to their good convergence properties in situations where other approaches often fail (e.g.,...