181 search results - page 9 / 37 » On Policy Learning in Restricted Policy Spaces |
JAIR
2007
13 years 7 months ago
2007
In this paper we present a general, flexible framework for learning mappings from images to actions by interacting with the environment. The basic idea is to introduce a feature-...
ML
1998
ACM
13 years 7 months ago
1998
ACM
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy, but may behave di erently due to position-dependent inputs. All...
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
ECSQARU
2001
Springer
14 years 3 days ago
2001
Springer
Abstract. Finding optimal policies for general partially observable Markov decision processes (POMDPs) is computationally difficult primarily due to the need to perform dynamic-pr...
ATAL
2007
Springer
13 years 11 months ago
2007
Springer
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...