reset-free

REVERSAL-BENCH introduces a benchmark for measuring reversibility in reset-free reinforcement learning, revealing a 'reversibility cliff' where agents fail in irrecoverable states. The benchmark includes a continuous reversibility parameter and a reset oracle to test state recoverability across multiple environments.