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Spotlight
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Thu 8:40
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A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines
Weichao Zhou · Wenchao Li
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Workshop
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Guided Exploration in Reinforcement Learning via Monte Carlo Critic Optimization
Igor Kuznetsov
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Workshop
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Fri 6:20
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Differentiable optimization for control and reinforcement learning
Brandon Amos
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Workshop
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Epsilon-Greedy Reinforcement Learning Policy in Continuous-Time Systems
Mohamad Kazem Shirani Faradonbeh
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Workshop
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Reward Reports for Reinforcement Learning
Thomas Krendl Gilbert · Sarah Dean · Nathan Lambert · Tom Zick · Aaron Snoswell
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Workshop
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Representation Gap in Deep Reinforcement Learning
Qiang He · Huangyuan Su · Jieyu Zhang · Xinwen Hou
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Workshop
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Risk Perspective Exploration in Distributional Reinforcement Learning
Jihwan Oh
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Spotlight
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Thu 11:40
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EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning
Shuang Ao · Tianyi Zhou · Jing Jiang · Guodong Long · Xuan Song · Chengqi Zhang
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Spotlight
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Wed 13:40
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The State of Sparse Training in Deep Reinforcement Learning
Laura Graesser · Utku Evci · Erich Elsen · Pablo Samuel Castro
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Spotlight
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Thu 10:50
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Offline Meta-Reinforcement Learning with Online Self-Supervision
Vitchyr Pong · Ashvin Nair · Laura Smith · Catherine Huang · Sergey Levine
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Poster
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Thu 15:00
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Offline Meta-Reinforcement Learning with Online Self-Supervision
Vitchyr Pong · Ashvin Nair · Laura Smith · Catherine Huang · Sergey Levine
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Workshop
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Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation
Hanping Zhang · Yuhong Guo
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