OpenAI Gym

A developer built a simulated system combining privacy-preserving active learning and embodied agent feedback loops for autonomous rover swarms conducting planetary geology surveys. The architecture u…

A new arXiv paper (arXiv:2609.10866v1) extends certification methods for reinforcement learning to risk-sensitive objectives, establishing lower bounds on the exponential utility of cumulative rewards…

Researchers introduced SPADE (Self-Play in Adaptive Synthetic Executable Environments), a self-play reinforcement learning framework in which a single large language model acts as both an Environment …