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【导读】 最近,强化学习领域的新会议——RLC在美国马萨诸塞大学召开第一届,颁布了7个组别的杰出论文奖项,并在公开发布的博文中表示,对审稿流程做出了诸多创新和改进。 Aug 10, Oral Track 1: Evaluation - Room 168 D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning Rafael Rafailov, Kyle Beltran Hatch, Anikait Singh, Aviral Kumar, Laura Smith, Ilya Kostrikov, Philippe Hansen-Estruch, Victor Kolev, Philip J. Ball, Jiajun Wu, Sergey Levine, Chelsea Finn Harnessing Discrete Representations for Continual Reinforcement Learning Edan Jacob Meyer, Adam White, Marlos C. Machado Aquatic Navigation: A Challenging Benchmark for Deep Reinforcement Learning Davide Corsi, Davide Camponogara, Alessandro Farinelli Investigating the Interplay of Prioritized Replay and Generalization Parham Mohammad Panahi, Andrew Patterson, Martha White, Adam White ICU-Sepsis: A Benchmark MDP Built from Real Medical Data Kartik Choudhary,
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