MOCI jointly infers shared constraints and individual preferences from heterogeneous expert trajectories via multi-objective inverse reinforcement learning and outperforms baselines on grid-world predictive performance.
Heterogeneous-agent reinforcement learning.Journal of Machine Learning Research, 25(32): 1–67
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Multi-Objective Constraint Inference using Inverse reinforcement learning
MOCI jointly infers shared constraints and individual preferences from heterogeneous expert trajectories via multi-objective inverse reinforcement learning and outperforms baselines on grid-world predictive performance.