Search Results for author:
Found 1 papers, 0 papers with code
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees
In this paper, we rethink off-policy learning via Coordinate Ascent Policy Optimization (CAPO), an off-policy actor-critic algorithm that decouples policy improvement from the state distribution of the behavior policy without using the policy gradient.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
