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» Planning with predictive state representations
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ICML
2004
IEEE
16 years 2 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
15 years 2 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
16 years 2 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
15 years 7 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»
15 years 7 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, ...