Evolution of Migration Policy: Analysis and Evaluation

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Research Paper Assignment: Policy Evolution in Migration Governance

Explains the second-semester research paper assignment on analyzing policy evolution in migration governance.

Planning the First Draft

Covers the basic requirements for the first draft and guides students on project planning and outlining techniques.

Multi-arm Bandits: Exploration vs Exploitation

Explores the balance between exploration and exploitation in multi-arm bandit algorithms.

Towards Sustainable Composites

Explores sustainable composite solutions, including recycling, end-of-life strategies, and hydrogen storage.

Policy, People, Technology: Future of Mobility

Explores the future of mobility through policy, people, and technology.

Innovative Governance of Large Urban Systems

Delves into the governance of large urban systems and the future of mobility, addressing challenges and new business models.

Unintended Consequences of Technology in Global South

Examines unintended negative impacts of technology in sustainable development, addressing challenges and consequences in the Global South.

Relation of SARSA and Bellman equation

Explores the relation between fluctuating Q-values in SARSA and the Bellman equation through expectations and policy constancy.

Hidden Exposure: Measuring US Supply Chain Reliance

Explores the hidden exposure of US supply chains to foreign suppliers and the importance of simplifying complex realities through mental models.

Model-Free Prediction in Reinforcement Learning: Key Methods

Covers model-free prediction methods in reinforcement learning, focusing on Monte Carlo and Temporal Differences for estimating value functions without transition dynamics knowledge.

Mechanical Search on Shelves: Efficient Stacking and Destacking

Discusses optimizing object retrieval in cluttered environments using efficient stacking and destacking techniques.

Ethics and Law of AI

Delves into different ethical theories and thought experiments in the context of AI, exploring the challenges of defining AI.

Policy Iteration and Linear Programming in MDPs

Discusses policy iteration and linear programming methods for solving Markov Decision Processes.

Scalable Multi-query Execution: Reinforcement Learning Approach

Presents a novel approach to scalable multi-query execution using reinforcement learning.

Inventory Management

Covers the (s,s)-inventory model, stationary Markov chains, time reversal property, and detailed balance condition.

Biodiversity and Infrastructure: Eco-services

Delves into biodiversity, ecosystem services, economic valuation, and sustainable infrastructure policies.

Technological Levers for Sustainability: Energy and Policy

Covers the impact of technological levers on sustainability, focusing on energy consumption and climate change.

Dynamic Programming: Optimal Control

Explores Dynamic Programming for optimal control, focusing on stability, stationary policy, and recursive solutions.

Mini-Batches in On- and Off-Policy Deep Reinforcement Learning

Explains the significance of mini-batches in Deep Reinforcement Learning and the differences between on-policy and off-policy methods.

Innovation Economics: Challenges and Opportunities

Introduces the course on innovation economics, addressing its challenges and the need for redirection towards societal goals.

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