113 search results - page 19 / 23 » Model Approximation for HEXQ Hierarchical Reinforcement Lear... |
119
Voted
NIPS
1997
15 years 5 months ago
1997
Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
126
Voted
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
140
Voted
EDUTAINMENT
2007
Springer
15 years 7 months ago
2007
Springer
High compression of plant geometry is an important aspect in fast realistic visualization of plants. Hierarchical structuring plant morphology is a key factor for real time plant r...
124
Voted
ICML
1994
IEEE
15 years 7 months ago
1994
IEEE
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
128
Voted
CEC
2005
IEEE
15 years 9 months ago
2005
IEEE
This paper presents a study on Hierarchical Surrogate-Assisted Evolutionary Algorithm (HSAEA) using different global surrogate models for solving computationally expensive optimiza...