Tag: adversarial reinforcement learning
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Do LLMs Follow Their Own Safety Rules? An Audit
Explore how large language models comply with their self-stated safety policies using the Symbolic-Neural Consistency Audit framework.
TensorHub: Efficient Weight Transfer for Scalable LLM RL Training
TensorHub enables scalable, elastic weight transfer for LLM reinforcement learning, reducing GPU stalls and boosting training efficiency across distributed...
VLA-World: Advanced Vision-Language Models for Autonomous Driving
Discover VLA-World, a cutting-edge vision-language-action model enhancing safety and prediction in autonomous driving with temporal and global consistency.
PerMix-RLVR: Enhancing Persona Expressivity in LLMs
Discover how PerMix-RLVR improves persona expressivity and robustness in large language models using reinforcement learning with verifiable rewards.
WOMBET: Efficient World Model Transfer in Reinforcement Learning
Discover WOMBET, a world model-based framework enhancing experience transfer for robust, sample-efficient reinforcement learning in robotics and control ta...