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#temporal-difference News & Analysis

2 articles tagged with #temporal-difference. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · 5h ago6/10
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Extending Differential Temporal Difference Methods for Episodic Problems

Researchers propose a generalization of differential temporal difference (TD) methods that extends their applicability from infinite-horizon to episodic reinforcement learning problems. By addressing how reward centering affects policy optimization in episodic settings, the work maintains theoretical guarantees while empirically demonstrating improved sample efficiency across multiple algorithms and environments.

AINeutralarXiv – CS AI · Mar 174/10
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Chunk-Guided Q-Learning

Researchers introduce Chunk-Guided Q-Learning (CGQ), a new offline reinforcement learning algorithm that combines single-step and multi-step temporal difference learning approaches. The method achieves better performance on long-horizon tasks by reducing error accumulation while maintaining fine-grained value propagation, with theoretical guarantees and empirical validation on OGBench tasks.