Search Results for author: Thomas J. Ringstrom

Found 3 papers, 0 papers with code

Reward is not Necessary: How to Create a Modular & Compositional Self-Preserving Agent for Life-Long Learning

no code implementations20 Nov 2022 Thomas J. Ringstrom

Because these functions are hierarchical operators we can define hierarchical empowerment measures on them.

Jump Operator Planning: Goal-Conditioned Policy Ensembles and Zero-Shot Transfer

no code implementations6 Jul 2020 Thomas J. Ringstrom, Mohammadhosein Hasanbeig, Alessandro Abate

In Hierarchical Control, compositionality, abstraction, and task-transfer are crucial for designing versatile algorithms which can solve a variety of problems with maximal representational reuse.

Constraint Satisfaction Propagation: Non-stationary Policy Synthesis for Temporal Logic Planning

no code implementations29 Jan 2019 Thomas J. Ringstrom, Paul R. Schrater

Problems arise when using reward functions to capture dependencies between sequential time-constrained goal states because the state-space must be prohibitively expanded to accommodate a history of successfully achieved sub-goals.

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