Abstract: Lifelong deep reinforcement learning (DRL) methods enable continuous adaptation to new tasks and retention of old knowledge. However, these methods often necessitate large model sizes, ...
If you’re a newcomer to running or thinking of graduating to longer challenges, you might need some help working out how far you need to go to hit training or race day targets. Maybe you need to ...
Abstract: Probe-based confocal laser endomicroscopy (pCLE) has a role in characterising tissue intraoperatively to guide tumour resection during surgery. To capture good quality pCLE data which is ...
Joabe Barbosa hates running. But he loves to explore. Since August 2024, the Roosevelt University graduate student has been chipping away at an ambitious, if a little unwieldy, personal feat: to ...
verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.