Adaptive Submodular Policy Optimization
Branislav Kveton, Anup B. Rao, V. Lai et al.
· 2 citations
· ⚡1
2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
The algorithm minimizes an advantage-weighted prediction loss, which maximizes reward, regularized by the rollout policy, which convexifies the objective and makes its optimization stable, and compares it to both forward- and reverse-process RL algorithms.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.