We present a new approach, Programmatic Interpretable reinforcement learning for traffic signal control (π-light), designed to autonomously discover non-differentiable programs.
First-pass extracted concept
LIGHT
Aliases
Programmatic Interpretable reinforcement learning for traffic signal control, TNFSF14, π-light
Evidence Snippets
LIGHT (TNFSF14) has emerged as an important modulator of critical innate and adaptive immune responses.
Supporting Sources
Linked Claims
Extensive experiments demonstrate that π-Light consistently outperforms baseline approaches.
Extensive experiments demonstrate that our method consistently outperforms baseline approaches.
Learned program policies from π-Light can directly deploy on edge devices with extremely limited resources.
Finally, we analyze how the learned program policies can directly deploy on edge devices with extremely limited resources.
π-Light exhibits superior generalization capabilities compared to deep reinforcement learning, enabling training and evaluation across intersections from different cities.
Moreover, π-Light exhibits superior generalization capabilities compared to DRL, enabling training and evaluation across intersections from different cities.
π-Light is designed to autonomously discover non-differentiable programs for traffic signal control.
We present a new approach, Programmatic Interpretable reinforcement learning for traffic signal control (π-light), designed to autonomously discover non-differentiable programs.
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.
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.
LIGHT is an important modulator of critical innate and adaptive immune responses.
LIGHT (TNFSF14) has emerged as an important modulator of critical innate and adaptive immune responses.
LIGHT, herpesvirus entry mediator, lymphotoxin β receptor, B and T lymphocyte attenuator, and CD160 form an immune regulatory network.
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.