Multi-Goal Reinforcement Learning capability for robotics environments — research request

AI Impact Summary

The change signals an introduction of multi-goal reinforcement learning capabilities for robotics environments. This broadens the testing surface beyond single-objective tasks, necessitating new benchmarks, reward shaping strategies, and curricula for training agents across multiple goals. Teams should anticipate updated RL pipelines and potential integration work to support evaluation of concurrent objectives in simulated robotics scenarios.