Incorporating Graph Attention Mechanism into Geometric Problem Solving Based on Deep Reinforcement Learning

arXiv:2403.14690v1 Announce Type: cross
Abstract: In the context of online education, designing an automatic solver for geometric problems has been considered a crucial step towards general math Artificial Intelligence (AI), empowered by natural language understanding and traditional logical inference. In most instances, problems are addressed by adding auxiliary components such as lines or points. However, adding auxiliary components automatically is challenging due to the complexity in selecting suitable auxiliary components especially when pivotal decisions have to be made. The state-of-the-art …

abstract artificial artificial intelligence arxiv attention context cs.ai cs.cl cs.cy cs.lg designing education general graph inference instances intelligence language language understanding math natural natural language online education reinforcement reinforcement learning solver type understanding