Researchers introduced SINKFLEX-RL, a modular training system for reinforcement learning in long-horizon tool-use agentic tasks, which integrates a Gymnasium-compatible environment wrapper, VERL-style…
An independent researcher demonstrated that timing side channels in multi-agent reinforcement learning (MARL) policies deployed on microcontrollers can leak information about an agent's next action. B…
Bespoke Labs is hiring a contract researcher to design and evaluate reinforcement learning environments and benchmarks for long-horizon agentic tasks, which require hours, days, or weeks of coherent m…
A reinforcement-learning environment for sheep herding, based on the browser game Shepherd's Dog, has been released as an open-source Python package. The environment, created by developer Midhun Harik…
Researchers introduced a new metric, Composite Reward Observability Fraction (CROF), that improves AI model checkpoint selection in simulated environments like LunarLander. CROF combines Reward Observ…