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  3. Ergodicity in reinforcement learning
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Ergodicity in reinforcement learning

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Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: Ergodicity in reinforcement learning

PDF: https://arxiv.org/pdf/2603.10895v1

Source count: 0

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

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Ergodicity in reinforcement learning

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Canonical Paper Receipt

Last verification: 2026-04-02T02:30:40.136Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 0

Coverage: 17%

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Prior Work
Expected Return Causes Outcome-Level Mode Collapse in Reinforcement Learning and How to Fix It with Inverse Probability Scaling
Score 2.0stable
Higher Viability
Maximum Entropy Exploration Without the Rollouts
Score 5.0up
Higher Viability
Almost Sure Convergence of Differential Temporal Difference Learning for Average Reward Markov Decision Processes
Score 3.0up
Higher Viability
Maximum-Entropy Exploration with Future State-Action Visitation Measures
Score 4.0up
Higher Viability
Intrinsic Reward Policy Optimization for Sparse-Reward Environments
Score 6.0up
Higher Viability
Model-Based Reinforcement Learning for Control under Time-Varying Dynamics
Score 4.0up
Competing Approach
Entropy-Preserving Reinforcement Learning
Score 2.0stable
Competing Approach
Stochastic Resetting Accelerates Policy Convergence in Reinforcement Learning
Score 2.0stable

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