pico-WAM: Evaluating Counterfactual Prediction and Planning Error in a Compact World Action Model
Overview
This paper introduces pico-WAM, a compact world action model designed to trace policy-dynamics interactions.
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Reported quantity · demonstrations: 206 other · Basis not reported
“arXiv:2611.01039v1 Announce Type: new Abstract: When a World Action Model fails at control, is the bottleneck proposal generation or trajectory scoring? We introduce pico-WAM, a compact model with supplied physical state for tracing policy-dynamics interactions. Using 206 Push-T demonstrations and 15 training seeds, we compare data regimes and search configurations. Counterfactual branch training improves short-horiz”
Exact source · revision 1Source owner not reported
Reported quantity · training seeds: 15 other · Basis not reported
“arXiv:2611.01039v1 Announce Type: new Abstract: When a World Action Model fails at control, is the bottleneck proposal generation or trajectory scoring? We introduce pico-WAM, a compact model with supplied physical state for tracing policy-dynamics interactions. Using 206 Push-T demonstrations and 15 training seeds, we compare data regimes and search configurations. Counterfactual branch training improves short-horiz”
Exact source · revision 1Source owner not reported
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- arXiv Robotics — research abstractsSignalpico-WAM: Evaluating Counterfactual Prediction and Planning Error in a Compact World Action Model
This paper introduces pico-WAM, a compact world action model designed to trace policy-dynamics interactions.
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