Reinforcement Learning of Hierarchical Skills on the Sony Aibo robot

@inproceedings{Soni2005ReinforcementLO,
  title={Reinforcement Learning of Hierarchical Skills on the Sony Aibo robot},
  author={Vishal Soni and Satinder Singh},
  year={2005}
}
Humans frequently engage in activities for their own sake rather than as a step towards solving a specific task. During such behavior, which psychologists refer to as being intrinsically motivated, we often develop skills that allow us to exercise mastery over our environment. Reference [7] have recently proposed an algorithm for intrinsically motivated reinforcement learning (IMRL) aimed at constructing hierarchies of skills through self-motivated interaction of an agent with its environment… CONTINUE READING
Highly Cited
This paper has 30 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 18 extracted citations

Task-based behavior generalization via manifold clustering

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) • 2017
View 2 Excerpts

Intrinsically motivated reinforcement learning: A promising framework for procedural content generation

2016 IEEE Conference on Computational Intelligence and Games (CIG) • 2016
View 1 Excerpt

Towards learning hierarchical skills for multi-phase manipulation tasks

2015 IEEE International Conference on Robotics and Automation (ICRA) • 2015
View 2 Excerpts

Learning Motor Skills - From Algorithms to Robot Experiments

Springer Tracts in Advanced Robotics • 2014
View 1 Excerpt

Learning parameterized motor skills on a humanoid robot

2014 IEEE International Conference on Robotics and Automation (ICRA) • 2014
View 1 Excerpt

A framework of an agent planning with reinforcement learning for e-pet

2013 1st International Conference on Orange Technologies (ICOT) • 2013
View 1 Excerpt

Behavioral Hierarchy: Exploration and Representation

Computational and Robotic Models of the Hierarchical Organization of Behavior • 2013
View 1 Excerpt

Similar Papers

Loading similar papers…