ARC-RL: A Reinforcement Learning Playground Inspired by ARC Raiders

ArXi:2605.19503v1 Announce Type: cross Reinforcement learning for legged locomotion has matured into a stack of multi-component reward functions and physics-engine benchmarks whose morphologies are uniformly derived from real commercial hardware. Game NPCs, however, are bound by stylistic constraints absent from sim-to-real robotics and routinely take the form of creatures with no real-robot counterpart. We