Outstanding Paper Award Winners - 2/2 @ RLC 2025

We caught up with the RLC Outstanding Paper award winners for your listening pleasure. Recorded on location at Reinforcement Learning Conference 2025 , at University of Alberta, in Edmonton Alberta Canada in August 2025. Featured References Empirical Reinforcement Learning Research Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions Ayush Jain, Norio Kosaka, Xinhu Li, Kyung-Min Kim, Erdem Biyik, Joseph J Lim Applications of Reinforcement Learning WOFOSTGym: A Crop Simulator for Learning Annual and Perennial Crop Management Strategies William Solow, Sandhya Saisubramanian, Alan Fern Emerging Topics in Reinforcement Learning Towards Improving Reward Design in RL: A Reward Alignment Metric for RL Practitioners Calarina Muslimani, Kerrick Johnstonbaugh, Suyog Chandramouli, Serena Booth, W. Bradley Knox, Matthew E. Taylor Scientific Understanding in Reinforcement Learning Multi-Task Reinforcement Learning Enables Parameter Scaling Reginald McLean, Evangelos Chatzaroulas, J K Terry, Isaac Woungang, Nariman Farsad, Pablo Samuel Castro

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Outstanding Paper Award Winners - 2/2 @ RLC 2025 is an episode from TalkRL: The Reinforcement Learning Podcast by Robin Ranjit Singh Chauhan.

This episode is 14:18 long.

This episode was published on Aug 18, 2025.

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