
Inverse Reinforcement Learning Without RL with Gokul Swamy - #643
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Exploring Advances in Inverse Reinforcement Learning and Future Research Directions
This chapter explores the challenges and breakthroughs in inverse reinforcement learning research, including a notable achievement where an agent maps a maze autonomously. The speaker also discusses future research avenues focused on enhancing learning efficiency using large language models.
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