Tag: adversarial reinforcement learning
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LANTERN: Efficient Neurosymbolic Transfer with LLMs
Discover LANTERN, a novel LLM-augmented neurosymbolic transfer framework boosting reinforcement learning efficiency by 40-60% with adaptive reasoning.
Constant-Context Skill Learning for Efficient LLM Agents
Discover how constant-context skill learning boosts LLM agents' efficiency and privacy, achieving high success rates in multi-step workflows.
ZAYA1-8B AI Model: Breakthrough in Reasoning Performance
Discover ZAYA1-8B, an advanced AI model excelling in complex reasoning, math, and coding with innovative training and efficient architecture.
Poly-EPO: Optimizing Language Models with Exploratory Training
Discover Poly-EPO, a novel framework enhancing language models through optimistic exploration and set reinforcement learning for better reasoning.
HiMAC: Hierarchical Learning for Long-Horizon LLM Agents
Discover HiMAC, a hierarchical learning framework boosting long-horizon planning and execution in LLM agents with improved efficiency and performance.