First-pass extracted concept

LIGHT

Candidate: toolkit item2 source documents7 linked claims
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Aliases

Programmatic Interpretable reinforcement learning for traffic signal control, TNFSF14, π-light

Evidence Snippets

We present a new approach, Programmatic Interpretable reinforcement learning for traffic signal control (π-light), designed to autonomously discover non-differentiable programs.
Evidence 1Source 1DOIprovenance
LIGHT (TNFSF14) has emerged as an important modulator of critical innate and adaptive immune responses.
Evidence 2Source 2DOIPubMedprovenance

Supporting Sources

Linked Claims

Claim 1comparative performancesupports2024Source 1DOI

Extensive experiments demonstrate that π-Light consistently outperforms baseline approaches.

Quoted textsource-backed
Extensive experiments demonstrate that our method consistently outperforms baseline approaches.
Claim 2deployment propertysupports2024Source 1DOI

Learned program policies from π-Light can directly deploy on edge devices with extremely limited resources.

Quoted textsource-backed
Finally, we analyze how the learned program policies can directly deploy on edge devices with extremely limited resources.
Claim 3generalizationsupports2024Source 1DOI

π-Light exhibits superior generalization capabilities compared to deep reinforcement learning, enabling training and evaluation across intersections from different cities.

Quoted textsource-backed
Moreover, π-Light exhibits superior generalization capabilities compared to DRL, enabling training and evaluation across intersections from different cities.
Claim 4method capabilitysupports2024Source 1DOI

π-Light is designed to autonomously discover non-differentiable programs for traffic signal control.

Quoted textsource-backed
We present a new approach, Programmatic Interpretable reinforcement learning for traffic signal control (π-light), designed to autonomously discover non-differentiable programs.
Claim 5method constructionsupports2024Source 1DOI

The approach defines a domain specific language and transformation rules for constructing programs, and uses Monte Carlo Tree Search to find an optimal program in a discrete space.

Quoted textsource-backed
Specifically, we define a Domain Specific Language (DSL) and transformation rules for constructing programs, and utilize Monte Carlo Tree Search (MCTS) to find the optimal program in a discrete space.
Claim 6functional rolesupports2022Source 2DOIPubMed

LIGHT is an important modulator of critical innate and adaptive immune responses.

Quoted textsource-backed
LIGHT (TNFSF14) has emerged as an important modulator of critical innate and adaptive immune responses.
Claim 7network compositionsupports2022Source 2DOIPubMed

LIGHT, herpesvirus entry mediator, lymphotoxin β receptor, B and T lymphocyte attenuator, and CD160 form an immune regulatory network.

Quoted textsource-backed
LIGHT and its signaling receptors, herpesvirus entry mediator (TNFRSF14), and lymphotoxin β receptor, form an immune regulatory network with two co-receptors of herpesvirus entry mediator, checkpoint inhibitor B and T lymphocyte attenuator, and CD160.