An Approximate Dynamic Programming Framework for Modeling Global Climate Policy under Decision-Dependent Uncertainty
Analyses of global climate policy as a sequential decision under uncertainty have been severely restricted by dimensionality and computational burdens. Therefore, they have limited the number of decision stages, discrete actions, or number and type of uncertainties considered. In particular, other f...
| Main Authors: | , , |
|---|---|
| Format: | Working Paper |
| Language: | en_US |
| Published: |
MIT Center for Energy and Environmental Policy Research
2011
|
| Online Access: | http://hdl.handle.net/1721.1/66292 |