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Research map / Reinforcement learning / Visual and representation RL

A Composable Specification Language for Reinforcement Learning Tasks

NeurIPS 2019 · Reinforcement learning › Visual and representation RL · approach: In-context and adaptive RL · 20 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use a task monitor to provide subtask progress and memory to the policySpectrl · Specifications φ5, φ6, and φ7probability of satisfying the specificationHelped
Remove reward shaping (ablation)Spectrl · Specifications with sequencing, especially φ5, φ6, and φ7probability of satisfying the specificationHurt
Use reward shapingSpectrl · Specifications φ1–φ7convergenceHelped
Add multiple constraints, including obstacle avoidance and a fuel constraintCCE · φ2probability of satisfying the specificationHurt
Use Spectrl instead of TLTLSpectrl and TLTL · φ1 and φ4convergenceHelped
Use Spectrl instead of TLTLSpectrl and TLTL · CartpoleconvergenceHelped
Use Spectrl instead of CCESpectrl and CCE · Cartpoleprobability of satisfying the specificationHelped

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