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Filtern nach: Committee Member Tadepalli, Prasad Degree Name Doctor of Philosophy (Ph.D.) Fach Reinforcement learning

Incorporating and Learning Behavior Constraints for Sequential Decision Making

Schöpfer:

Pinto, Jervis

Abstract:

Writing a program that performs well in a complex environment is a challenging task. In such problems, a method of deterministic programming combined with reinforcement learning (RL) can be helpful. However, current systems either force developers to encode knowledge in very specific forms (e.g., state-action features), or assume advanced RL...

Resource Type:

Dissertation
Multiagent learning for locomotion and coordination in tensegrity robotics

Schöpfer:

Iscen, Atil

Abstract:

Tensegrity structures are composed of pure compressional elements that are connected via a network of pure tensional elements. The concept of tensegrity promises numerous advantages to the field of robotics. Tensegrity robots are, however, notoriously difficult to control due to their oscillatory nature and nonlinear interaction between the components. Multiagent...

Resource Type:

Dissertation
Reinforcement learning for job-shop scheduling

Schöpfer:

Zhang, Wei, 1960-

Resource Type:

Dissertation