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Workshop
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The Agent-Environment Boundary
Dhawal Gupta
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Workshop
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Adversarial Robust Deep Reinforcement Learning is Neither Robust Nor Safe
Ezgi Korkmaz
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Workshop
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Sat 15:45
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Adversarial Robust Deep Reinforcement Learning is Neither Robust Nor Safe
Ezgi Korkmaz
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Poster
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Thu 16:30
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Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
Jing Zhang · Linjiajie Fang · Kexin SHI · Wenjia Wang · Bingyi Jing
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Session
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Wed 15:30
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Overflow for Oral Session 2C: Reinforcement Learning
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Workshop
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Improving Generalization of Differentiable Simulator Policies with Sharpness-Aware Optimization
Severin Bochem · Eduardo Sanchez · Yves Bicker · Gabriele Fadini
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Session
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Wed 15:30
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Overflow for Oral Session 2B: Reinforcement Learning
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Competition
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Sun 9:55
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GROW-FS: An Efficient Reinforcement Learning Framework for Model Selection in Weather Prediction Task
Saeid Rezaei
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Poster
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Thu 11:00
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Risk-sensitive control as inference with Rényi divergence
Kaito Ito · Kenji Kashima
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Workshop
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Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
Quentin Delfosse · Sebastian Sztwiertnia · Mark Rothermel · Wolfgang Stammer · Kristian Kersting
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Poster
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Fri 11:00
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AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
Jake Grigsby · Justin Sasek · Samyak Parajuli · Ikechukwu D. Adebi · Amy Zhang · Yuke Zhu
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Poster
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Fri 11:00
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XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
Alexander Nikulin · Vladislav Kurenkov · Ilya Zisman · Artem Agarkov · Viacheslav Sinii · Sergey Kolesnikov
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