Conservative Bias in Multi-Teacher Learning: Why Agents Prefer Low-Reward Advisors

Maher Mesto, Francisco Cruz

Interactive reinforcement learning (IRL) has shown promise in enabling autonomous agents and robots to learn complex behaviours from human teachers, yet the dynamics of teacher sel…