Abstract: Achieving distributed reinforcement learning (RL) for large-scale cooperative multiagent systems (MASs) is challenging because: 1) each agent has access to only limited information and 2) ...
Abstract: Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human ...
This patch release includes important bug fixes to the function definition of Attention-23 under the Group Query Attention mode and to the reference implementation of RotaryEmbedding-23.
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