{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"TalkRL: The Reinforcement Learning Podcast","title":"Outstanding Paper Award Winners - 2/2 @ RLC 2025","html":"","width":"100%","height":180,"duration":858,"description":"We caught up with the RLC Outstanding Paper award winners for your listening pleasure.\nRecorded on location at Reinforcement Learning Conference 2025, at University of Alberta, in Edmonton Alberta Canada in August 2025.\nFeatured References\n\nEmpirical Reinforcement Learning Research\nMitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions\nAyush Jain, Norio Kosaka, Xinhu Li, Kyung-Min Kim, Erdem Biyik, Joseph J Lim\nApplications of Reinforcement Learning\nWOFOSTGym: A Crop Simulator for Learning Annual and Perennial Crop Management Strategies\nWilliam Solow, Sandhya Saisubramanian, Alan Fern\nEmerging Topics in Reinforcement Learning\nTowards Improving Reward Design in RL: A Reward Alignment Metric for RL Practitioners\nCalarina Muslimani, Kerrick Johnstonbaugh, Suyog Chandramouli, Serena Booth, W. Bradley Knox, Matthew E. Taylor\nScientific Understanding in Reinforcement Learning\nMulti-Task Reinforcement Learning Enables Parameter Scaling\nReginald McLean, Evangelos Chatzaroulas, J K Terry, Isaac Woungang, Nariman Farsad, Pablo Samuel Castro","thumbnail_url":"https://img.transistorcdn.com/jXB1-VPK-A9v1epzc4aG4pFxqlvo2vbQ_Ytyuar_gPI/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzIwNDcvMTcwNzk1/NDcxMS1hcnR3b3Jr/LmpwZw.webp","thumbnail_width":300,"thumbnail_height":300}