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» Planning with predictive state representations
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ICML
2004
IEEE
14 years 10 months ago
Learning low dimensional predictive representations
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
IJCAI
2003
13 years 11 months ago
Action representation and partially observable planning using epistemic logic
We propose a purely logical framework for planning in partially observable environments. Knowledge states are expressed in a suitable fragment of the epistemic logic S5. We show h...
Andreas Herzig, Jérôme Lang, Pierre M...
ICML
2005
IEEE
14 years 10 months ago
Learning predictive representations from a history
Predictive State Representations (PSRs) have shown a great deal of promise as an alternative to Markov models. However, learning a PSR from a single stream of data generated from ...
Eric Wiewiora
LAMAS
2005
Springer
14 years 3 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
IROS
2006
IEEE
121views Robotics» more  IROS 2006»
14 years 3 months ago
Motion Planning of Emergency Stop for Humanoid Robot by State Space Approach
— A motion planner of emergency stop must make an operating humanoid robot to a stationary state under the emergency signal. It plays an important role in prevention of falling o...
Mitsuharu Morisawa, Kenji Kaneko, Fumio Kanehiro, ...