Tag: adversarial reinforcement learning
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Optimizing Prompting Policies for Multi-step Reasoning in LLMs
Discover how iterative distillation and RL improve prompting policies for multi-step reasoning and tool-use in black-box large language models.
Knowledge-Embedded RL Framework for Capacitated VRP
Discover a novel knowledge-embedded reinforcement learning framework that improves solutions for generalized capacitated vehicle routing problems.
Self-Evolving Reasoning RL via Verifiable Environment Synthesis
Discover how self-evolving reasoning reinforcement learning improves AI by building verifiable training environments for advanced problem-solving.
CrystalReasoner: Advanced RL for Accurate Crystal Generation
Discover CrystalReasoner, a novel RL-powered framework that enhances crystal structure generation with atomic precision and property conditioning.
GenCircuit-RL: AI-Driven Genetic Circuit Design Breakthrough
Discover GenCircuit-RL, a reinforcement learning framework enhancing genetic circuit design with hierarchical verification for improved accuracy and effici...