3 papers
cs.LG2025
Finite Time Analysis of Constrained Natural Critic-Actor Algorithm with Improved Sample Complexity
Prashansa Panda, Shalabh Bhatnagar
Recent studies have increasingly focused on non-asymptotic convergence analyses for actor-critic (AC) algorithms. One such effort introduced a two-timescale critic-actor algorithm…
cs.LG2025
Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation
Prashansa Panda, Shalabh Bhatnagar
Several recent works have focused on carrying out non-asymptotic convergence analyses for AC algorithms. Recently, a two-timescale critic-actor algorithm has been presented for the…
cs.LG2025
Finite-Time Analysis of Three-Timescale Constrained Actor-Critic and Constrained Natural Actor-Critic Algorithms
Prashansa Panda, Shalabh Bhatnagar
Actor Critic methods have found immense applications on a wide range of Reinforcement Learning tasks especially when the state-action space is large. In this paper, we consider act…