NeurIPS 2024 - Posters and Hallways 3
TalkRL: The Reinforcement Learning Podcast
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Innovative Approaches to Optimize Reinforcement Learning Strategies
This chapter explores two groundbreaking research papers that enhance reinforcement learning methods. The first paper redefines simulator usage for real-world applications, while the second presents algorithms for optimizing rewards and risks through distributional successor features.
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