651 search results - page 88 / 131 » Algorithms for Inverse Reinforcement Learning |
118
Voted
ESANN
2007
15 years 4 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...
140
Voted
MAGS
2010
14 years 9 months ago
2010
Coordinating agents in a complex environment is a hard problem, but it can become even harder when certain characteristics of the tasks, like the required number of agents, are un...
144
Voted
IAT
2010
IEEE
15 years 16 days ago
2010
IEEE
When its human operator cannot continuously supervise (much less teleoperate) an agent, the agent should be able to recognize its limitations and ask for help when it risks making...
113
Voted
NCA
2010
IEEE
15 years 29 days ago
2010
IEEE
The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
119
Voted
ICML
2003
IEEE
16 years 3 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...