Reproduce “Action-Constrained Reinforcement Learning for Frame-Level Bit Allocation in HEVC/H.265 through Frank-Wolfe Policy Optimization” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Yung-Han Ho, Yun Liang, Chia-Hao Kao, Wen-Hsiao Peng
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.