An approximate dynamic programming framework for modeling global climate policy under decision-dependent uncertainty

Mathematics

• Approximate Dynamic Programming 100%
• Climate 85%
• Policy 60%
• Uncertainty 51%
• Dependent 40%
• Modeling 39%
• Framework 35%
• Technological Change 14%
• Stochastic Dynamic Programming 12%
• Two-stage Model 11%
• Costs 11%
• Integrated Model 11%
• Rate Control 10%
• Function Approximation 8%
• Optimal Policy 8%
• Dynamic Model 8%
• Dimensionality 7%
• Approximation 7%
• Simplification 7%
• Shock 7%
• Value Function 7%
• Optimal Control 6%
• Numerical Results 5%

Business & Economics

• Global Modeling 99%
• Approximate Dynamic Programming 90%
• Climate Policy 73%
• Uncertainty 36%
• Approximation 21%
• Emission Control 11%
• Cost Uncertainty 11%
• Sequential Decisions 11%
• Abatement Costs 11%
• Decision under Uncertainty 11%
• Problem Formulation 11%
• Two-stage Model 11%
• Stochastic Dynamic Programming 11%
• Dimensionality 9%
• Optimal Control 9%
• Value Function 9%
• Integrated Model 8%
• Optimal Policy 8%
• Technological Change 7%
• Burden 7%
• R and D 6%

Engineering & Materials Science

• Dynamic programming 59%
• Uncertainty 38%
• Emission control 10%
• Costs 6%