Tag: Monte Carlo Tree Search
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Efficient Amazons Chess AI Using LLMs and Graph Attention
Discover a resource-efficient Amazons chess AI framework combining large language models and graph attention for superior decision-making accuracy.
PRISM-MCTS: Efficient Reasoning with Metacognitive Reflection
Discover PRISM-MCTS, a novel reasoning model using metacognitive reflection and shared memory to improve efficiency and accuracy in NLP tasks.
Solve Constraint Optimization with LLMs via AutoCO Method
Discover AutoCO, a breakthrough method using large language models for solving complex constraint optimization problems with bidirectional coevolution.
Adaptive Parallel MCTS for Fast Test-Time Compute Scaling
Boost large language model efficiency with adaptive parallel MCTS, reducing latency and improving throughput during test-time compute scaling.
Online Design Strategies for Dynamic Transport Networks
Explore innovative online design methods for dynamic transport networks that adapt in real-time to changing demands and improve urban mobility.