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20242026
most citedA Convolution and Attention Based Encoder for Reinforcement Learning under Partial Observability

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cs.LG2025★ 1 cited

A Convolution and Attention Based Encoder for Reinforcement Learning under Partial Observability

Wuhao Wang, Zhiyong Chen

Partially Observable Markov Decision Processes (POMDPs) remain a core challenge in reinforcement learning due to incomplete state information. We address this by reformulating POMD…

cs.LG2024

Multi-State TD Target for Model-Free Reinforcement Learning

Wuhao Wang, Zhiyong Chen, Lepeng Zhang

Temporal difference (TD) learning is a fundamental technique in reinforcement learning that updates value estimates for states or state-action pairs using a TD target. This target…