A model-free, biologically-motivated learning and control algorithm called S-learning is described as implemented in an Surveyor SRV-1 mobile robot.
A model-free, biologically-motivated learning and control algorithm called S-learning is described as implemented in an Surveyor SRV-1 mobile robot.
A model-free, biologically-motivated learning and control algorithm called S-learning is described as implemented in an Surveyor SRV-1 mobile robot.
In this chapter the fundamentals of reinforcement learning are introduced, in- cluding the formulation of the RL problem, RL algorithms that leverage system.
Mar 1, 2009 · Rohrer, Brandon R. Model-free Learning and Control in a Mobile Robot.. United States: N. p., 2009. Web. ... Rohrer, Brandon R. Model-free Learning ...
Model-free Learning and Control in a Mobile Robot. Rohrer, Brandon R. Abstract not provided. Additional Metadata. SAND Number. SAND2009-1808C. Date Published.
This paper extensively details three dynamic linearization techniques of MFAC: compact form dynamic linearization, partial form dynamic linearization and full ...
Model-free reinforcement learning (RL) methods, on the other hand, are able to leverage full-order dynamics model of the robot during offline training in ...
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot.
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Abstract. A model-free, case-based learning and control algorithm called. S-learning is described as implemented in a simulation of a light-seeking mobile ...