Learning implicit causal world models from multi-agent demonstrations
Read the original at arxiv.org→arXiv:2607.26336v1 Announce Type: new Abstract: In model-based reinforcement learning, world models exist as internal simulators, but their training often conflates statistical correlations with causal mechanisms....
Original headline: "Learning Implicit Causal World Models from Multi-Agent Demonstrations"
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- Jul 30, 04:00 UTC arXiv cs.LG lead source Learning Implicit Causal World Models from Multi-Agent Demonstrations