Eligibility Traces for Policy Gradient and Actor-Critic

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Page 3 of 4

Introduction to Module 3

Introduces adapting course design into an online format using instructional design.

Policy Gradient Methods: Direct Action Learning in Reinforcement Learning

Covers policy gradient methods, focusing on direct action learning and optimizing rewards in reinforcement learning.

Introduction to Module 1

Introduces Module 1, emphasizing the role of the facilitator and the importance of online discussions.

Course Implementation: Key Steps

Covers the key steps for implementing an online/mixed course and the importance of refining course content and conducting pilot tests.

Digital Learning Strategies

Explores the integration of digital resources in teaching and evaluation methods.

Memory-Efficient Adaptive Optimization

Explores memory-efficient adaptive optimization for large-scale learning and the challenges of memory overhead in training large models.

Stakeholders: Transforming Courses to Online Learning

Covers identifying key stakeholders, analyzing interests, and creating project vision statements.

Assessment Process Implementation

Covers training in digital education, emphasizing short videos, engaging activities, and varied presentation styles.

Designing Online Learning: Strategies and Challenges

Covers strategies and challenges in designing online learning, including content chunking, pedagogical resource integration, and learner-centered approaches.

Digital Education: Lessons Learned

Explores lessons learned during a crisis, highlighting virtual contact and blended learning's importance.