DeepMind & UCL’s Stochastic MuZero Achieves SOTA Results in Complex Stochastic Environments
In the new paper Planning in Stochastic Environments with a Learned Model, a research team from DeepMind and University College London extends the deterministic MuZero model to Stochastic MuZero fo...
Source: syncedreview.com
In the new paper Planning in Stochastic Environments with a Learned Model, a research team from DeepMind and University College London extends the deterministic MuZero model to Stochastic MuZero for stochastic model learning, achieving performance comparable or superior to state-of-the-art methods in complex single- and multi-agent environments.