AHD Agent trains a 4B-parameter LLM via agentic RL to actively use tools for automatic heuristic design, matching or exceeding larger baselines across eight domains with fewer evaluations.
Dhevo: Data-algorithm based heuristic evolution for generalizable milp solving
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LLM4Branch discovers branching policies for MILP solvers as LLM-generated executable programs whose parameters are tuned via zeroth-order optimization on solver performance.
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AHD Agent: Agentic Reinforcement Learning for Automatic Heuristic Design
AHD Agent trains a 4B-parameter LLM via agentic RL to actively use tools for automatic heuristic design, matching or exceeding larger baselines across eight domains with fewer evaluations.
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LLM4Branch: Large Language Model for Discovering Efficient Branching Policies of Integer Programs
LLM4Branch discovers branching policies for MILP solvers as LLM-generated executable programs whose parameters are tuned via zeroth-order optimization on solver performance.