Tag: adversarial reinforcement learning
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HTPO: Balanced Policy Optimization for Large Language Models
Discover HTPO, a novel RL algorithm enhancing exploration-exploitation balance in LLMs via hierarchical token-level control for superior reasoning performa...
Preventing Insider Attacks in Multi-Agent LLM Systems
Explore strategies to detect and mitigate insider attacks in multi-agent large language model consensus systems for improved AI security.
Path-Coupled Bellman Flows for Advanced Distributional RL
Discover how Path-Coupled Bellman Flows improve distributional reinforcement learning with enhanced stability and accuracy in return distribution modeling.
DOSER: Diffusion-Based OOD Detection in Offline RL
Discover DOSER, a diffusion-based method for accurate out-of-distribution detection and selective regularization in offline reinforcement learning.
Quantile Geometry Regularization in Distributional RL
Discover how quantile geometry regularization improves distributional reinforcement learning with robust quantile estimation and enhanced performance.