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Poster
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Fri 16:30
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Goal Reduction with Loop-Removal Accelerates RL and Models Human Brain Activity in Goal-Directed Learning
Huzi Cheng · Joshua Brown
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Poster
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Fri 11:00
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Trap-MID: Trapdoor-based Defense against Model Inversion Attacks
ZhenTing Liu · ShangTse Chen
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Workshop
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Model-Agnostic Meta-Learning with Open-Ended R
Aya Shabbar
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Workshop
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Are Expressive Models Truly Necessary for Offline RL?
Guan Wang · Haoyi Niu · Jianxiong Li · Li Jiang · Jianming HU · Xianyuan Zhan
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Workshop
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Transformer-based Imagination with Slot Attention
Yosuke Nishimoto · Takashi Matsubara
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Workshop
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Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods
Dennis Wei · Inkit Padhi · Soumya Ghosh · Amit Dhurandhar · Karthikeyan Natesan Ramamurthy · Maria Chang
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Poster
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Wed 16:30
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Parallelizing Model-based Reinforcement Learning Over the Sequence Length
Zirui Wang · Yue DENG · Junfeng Long · Yin Zhang
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Poster
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Fri 11:00
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Policy-shaped prediction: avoiding distractions in model-based reinforcement learning
Miles Hutson · Isaac Kauvar · Nick Haber
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Workshop
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Self-Attention Limits Working Memory Capacity of Transformer-Based Models
Dongyu Gong · Hantao Zhang
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Workshop
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AIR-Bench 2024: Safety Evaluation Based on Risk Categories from Regulations and Policies
Kevin Klyman
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Workshop
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EAMQ: Environment-based Adaptive Model Quantization on Federated Reinforcement Learning
YU CHENYUE
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Poster
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Fri 11:00
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Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning
Qi Wang · Junming Yang · Yunbo Wang · Xin Jin · Wenjun Zeng · Xiaokang Yang
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