23 search results - page 2 / 5 » Vision-Based Reinforcement Learning for Purposive Behavior A... |
IROS
2007
IEEE
13 years 11 months ago
2007
IEEE
— We propose a novel approach for acquisition and development of behaviors through observation in multi-agent environment. Observed behaviors of others give fruitful hints for a ...
ROBOCUP
2000
Springer
13 years 8 months ago
2000
Springer
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
ARCS
2005
Springer
13 years 10 months ago
2005
Springer
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
IROS
2007
IEEE
13 years 11 months ago
2007
IEEE
— Neurophysiology has revealed the existence of mirror neurons in brain of macaque monkeys and they shows similar activities during executing an observation of goal directed move...
DAGSTUHL
2003
13 years 6 months ago
2003
This chapter presents a generic internal reward system that drives an agent to increase the complexity of its behavior. This reward system does not reinforce a predefined task. It...