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3 results for “policy gradient”
Vector Symbolic Policy Gradient
A new reinforcement learning method called Vector-Symbolic Policy Gradient (VSPG) is introduced, using hypervector representations for discrete actions to enable sample-efficient, memory-constrained, and noise-robust policy learning.
Aug 20, 2026
Boundary-Seeking Policy Gradient for Safe Reinforcement Learning
A new reinforcement learning algorithm called Boundary-Seeking Policy Gradient (BSPG) is introduced to improve safety-constrained optimization by explicitly guiding policies to the active constraint boundary—rather than settling inside the feasible region—yielding tighter constraint satisfaction and higher reward in simulation.
Aug 12, 2026
Ad Headline Generation using Self-Critical Masked Language Model
Researchers propose a reinforcement learning-enhanced masked language model to generate e-commerce advertising headlines, claiming superior grammatical and creative quality compared to human-written headlines based on internal audits.
Jul 10, 2026