Single-timescale actor-critic with STORM momentum and a recent-sample buffer achieves optimal O(ε^{-2}) sample complexity for ε-optimal policies in finite discounted MDPs.
A two-timescale framework for bilevel optimization: Complexity analysis and application to actor-critic.arXiv preprint arXiv:2007.05170, 2020
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Introduces a modular unified Lyapunov template for continuous-time analysis of minimax, bilevel (via penalty), and min-min-max problems with explicit time-scale thresholds.
CHAL is a multi-agent dialectic system that performs structured belief optimization over defeasible domains using Bayesian-inspired graph representations and configurable meta-cognitive value system hyperparameters.
citing papers explorer
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Optimal Sample Complexity for Single Time-Scale Actor-Critic with Momentum
Single-timescale actor-critic with STORM momentum and a recent-sample buffer achieves optimal O(ε^{-2}) sample complexity for ε-optimal policies in finite discounted MDPs.
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Continuous-Time Analysis for Minimax and Bilevel Problems
Introduces a modular unified Lyapunov template for continuous-time analysis of minimax, bilevel (via penalty), and min-min-max problems with explicit time-scale thresholds.
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CHAL: Council of Hierarchical Agentic Language
CHAL is a multi-agent dialectic system that performs structured belief optimization over defeasible domains using Bayesian-inspired graph representations and configurable meta-cognitive value system hyperparameters.