SOLVING ACTION SEMANTIC CONFLICT IN PHYSICALLY HETEROGENEOUS MULTI-AGENT REINFORCEMENT LEARNING WITH GENERALIZED ACTION-PREDICTION OPTIMIZATION

Solving Action Semantic Conflict in Physically Heterogeneous Multi-Agent Reinforcement Learning with Generalized Action-Prediction Optimization

Traditional multi-agent reinforcement learning (MARL) algorithms typically implement global parameter sharing across various types of heterogeneous agents without meticulously differentiating between different action semantics.This approach results in the action grandpas best semantic conflict problem, which decreases the generalization ability of

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Associational susceptibility of crop plants caused by the invasive weed Canadian goldenrod, Solidago canadensis, via local aphid species

In the present study, field surveys were conducted to detect potential associational susceptibility of crop plants (potato, alfalfa and maize) caused by Canadian goldenrod, Solidago canadensis (L.), one of the most common invasive weeds in Central and Eastern Europe, via plant associated virus vectoring click here aphids.Assessments were made in tw

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