Chang-Chun Sun

Bipartite Tracking Consensus in Signed Graph Games: A Data-Driven Inverse RL Approach

This letter investigates inverse reinforcement learning (IRL) for leader-follower multi-agent systems (LFMASs) over signed graphs, a scenario where existing graphical game frameworks fail due to their assumption of non-negative edge weights. We consider a practical setting where a learner LFMAS imitates the optimal beh...