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IJCAI
2003
13 years 9 months ago
Qualitative Map Learning Based on Co-visibility of Objects
This paper proposes a unique map learning method for mobile robots based on the co-visibility infor­ mation of objects i.e., the information on whether two objects are visible at...
Takehisa Yairi, Koichi Hori
NIPS
2000
13 years 9 months ago
Programmable Reinforcement Learning Agents
We present an expressive agent design language for reinforcement learning that allows the user to constrain the policies considered by the learning process.The language includes s...
David Andre, Stuart J. Russell
ICRA
2008
IEEE
265views Robotics» more  ICRA 2008»
14 years 2 months ago
Trajectory generation for dynamic bipedal walking through qualitative model based manifold learning
— Legged robots represent great promise for transport in unstructured environments. However, it has been difficult to devise motion planning strategies that achieve a combinatio...
Subramanian Ramamoorthy, Benjamin Kuipers
ROBOCUP
2005
Springer
134views Robotics» more  ROBOCUP 2005»
14 years 1 months ago
Simultaneous Learning to Acquire Competitive Behaviors in Multi-agent System Based on Modular Learning System
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments. A typical example is a case of RoboCup...
Yasutake Takahashi, Kazuhiro Edazawa, Kentarou Nom...
ATAL
2009
Springer
14 years 2 months ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone