Researchers introduce DROPJ, a human-centered method for safe agent training and deployment in safety-critical environments with unknown dynamics and no reward function.
Read the original at arxiv.org→arXiv:2607.13172v1 Announce Type: new Abstract: We address the problem of safely training an agent policy and deploying a good and safe policy, in settings where the environment dynamics are unknown and no suitable...
Original headline: "Learning Safe Agent Behaviour from Human Preferences and Justifications via World Models"