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GitHub1d
verl: Volcano Engine Reinforcement Learning for LLMs
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.
Scientific Research Publishing12d
Enhancing Microsoft CyberBattleSim for Enterprise Cybersecurity Simulations ()
Enhancing Microsoft CyberBattleSim for Enterprise Cybersecurity Simulations. Journal of Information Security, 16, 270-282. doi: 10.4236/jis.2025.162014 . Quantifying the effectiveness of cyber defense ...
Market.us Scoop13d
Predictive AI in Stock Market to hit USD 4,100.6 Mn By 2034
Predictive AI in Stock Market size is expected to reach USD 4,100.6 Million by 2034, projected at a CAGR of 17.3% during ...
seattlepi.com13d
What is reinforcement learning? An AI researcher explains a key method of teaching machines – and how it relates to training your dog
Turing’s ideas ultimately led to the development of reinforcement learning, a branch of artificial intelligence. Reinforcement learning designs intelligent agents by training them to maximize rewards ...
Security Boulevard16d
When AI Agents Start Whispering: The Double-Edged Sword of Autonomous Agent Communication
AI agents develop their own communication channels beyond our monitoring frameworks, we face a pivotal challenge: harnessing ...
IEEE22d
Robotic Disassembly Skill Acquisition Based on Reinforcement Learning With External Knowledge Injection
Abstract: Reinforcement learning (RL) has great potential for skill acquisition ... The successful disassembly of various types of clearance-fit components highlights the practical applicability of ...
Psychology Today26d
Thwarting the Social Media Algorithm with Behavioural Science
Old strategies, new environments: Reinforcement Learning on social media ... concurrent schedules with different reinforcers in the components. Journal of the Experimental Analysis of Behavior ...
marktechpost26d
This AI Paper Introduces GRPO-based Open-RS: A Low-Cost Reinforcement Learning Framework to Enhance Reasoning in Small Language Models
Reinforcement learning (RL) is increasingly used in this space for massive ... The reward system was rule-based and focused on three components: correctness of answers (using boxed notation), ...
IEEE26d
Prioritized Recovery Strategy For Robust UAV Swarm Communication via Graph Reinforcement Learning
PRGRL’s network parameters are automatically updated and optimized using scalable deep reinforcement learning. Importantly, PRGRL prioritizes the recovery of boundary nodes within connected components ...
Indiatimes27d
Tata Autocomp to acquire International Automotive Components Group Sweden
Tata AutoComp Systems Ltd on Monday said it will acquire International Automotive Components Group Sweden AB (IAC Sweden), in a bid to strengthen its presence in Europe's automotive sector. This ...
Yahoo Finance27d
OpenLight Achieves Successful Completion of Telcordia GR-468 Qualification for Silicon Photonics Components
Milestone in optoelectronics provides significant assurance in the design and manufacturing process of advanced optoelectronic components, which are critical for applications in the growing ...