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Training AI Without Writing A Reward Function, with Reward Modelling
Potential-based Shaping in RL
Stanford CS224R Deep Reinforcement Learning | Spring 2025 | Lecture 8: Reward Learning
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Reward Shaping Explained Simply | AI Algorithm Guide
[ICML2024] Reward Shaping for Reinforcement Learning with An Assistant Reward Agent
Reward Machines: Structuring Reward Function Specifications and Reducing Sample Complexity...
Mario with Reward Shaping
The Tea Time Talks: Paniz Behboudian, Different Approaches for Reward Shaping (July 15)
Information-Theoretic Reward Shaping for Multimodal Object Attribute Learning
Reward Shaping
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Last Updated: October 19, 2026
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Summary
This video is part of the Udacity course "Reinforcement Learning". Watch the full course at udacity.com/course/ud600. Jacob will present three recent papers from his research group exploring innovative approaches to Mastering Reinforcement Learning In this video I dive into three advanced papers that addres the problem of the sparse How do you get a reinforcement learning agent to do what you want, when you can't actually write a To learn more about enrolling in the graduate course, visit: ... Paniz Behboudian speaks at The Tea Time Talks with his presentation on Different Approaches for The practice of designing intermediate