Evolution of Migration Policy: Analysis and Evaluation

Related lectures (32)

Page 3 of 4

Discusses reinforcement learning, focusing on temporal difference learning and SARSA algorithm variations.

Covers the conceptualization of smart urban energy systems and their three layers.

Explores advanced reinforcement learning topics, including policies, value functions, Bellman recursion, and on-policy TD control.

Covers Q-Learning in reinforcement learning, exploring action values, policies, and the societal impact of algorithms.

Covers infinite-horizon problems in Applied Probability and Stochastic Processes.

Explores the policy and process of heat treatments for waste management, including incineration and energy recovery.

Covers Material Flow Analysis for policy making, linking MFA with social science methods, and examples from Colombia and Switzerland.

Discusses deep reinforcement learning methods, focusing on mini-batches and the implications of on-policy and off-policy training techniques.

Covers the ReCLEAN Joint Initiative's first in-person meeting, focusing on reactive nitrogen's environmental impact and future collaborative efforts.

Covers Temporal Difference Learning, V-values, state-values, and TD methods in reinforcement learning.