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Global Convergence and Constraint Violation Analysis on Infinite-horizon RL Settings

1Global Convergence RateCayci et al.
0.950.97511.025Mar 8, 2026

Evaluation results

MethodLinks
Cayci et al.Reward Setting=Discounted, Infinite State Action Space=✗, Mixing Time Unknown?=✓, Critic Parameterization=Multi layer NN, Policy Parameterization=Multi layer NN2026.031—
Gaur et al.Reward Setting=Discounted, Infinite State Action Space=✓, Mixing Time Unknown?=✓, Critic Parameterization=Multi layer NN, Policy Parameterization=General2026.031—
Ganesh et al.Reward Setting=Discounted, Infinite State Action Space=✓, Mixing Time Unknown?=✗, Critic Parameterization=Multi layer NN, Policy Parameterization=General2026.031—
Mondal and AggarwalReward Setting=Discounted, Infinite State Action Space=✓, Mixing Time Unknown?=✓, Critic Parameterization=N/A, Policy Parameterization=General2026.0311
Agarwal et al.Reward Setting=Average, Infinite State Action Space=✗, Mixing Time Unknown?=✗, Critic Parameterization=Tabular, Policy Parameterization=Tabular2026.0310
Ghosh et al.Reward Setting=Average, Infinite State Action Space=✓, Mixing Time Unknown?=✗, Critic Parameterization=Linear MDP, Policy Parameterization=Tabular2026.0311
Bai et al.Reward Setting=Average, Infinite State Action Space=✓, Mixing Time Unknown?=✗, Critic Parameterization=N/A, Policy Parameterization=General2026.0311
Xu et al.Reward Setting=Average, Infinite State Action Space=✓, Mixing Time Unknown?=✓, Critic Parameterization=Linear, Policy Parameterization=General2026.0311
PDNAC-NCReward Setting=Average, Infinite State Action Space=✓, Mixing Time Unknown?=✓, Critic Parameterization=Multi layer NN, Policy Parameterization=General2026.0311