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Poster
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Wed 15:00
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Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation
Shengpu Tang · Jenna Wiens
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Poster
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Wed 8:45
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Anytime-Competitive Reinforcement Learning with Policy Prior
Jianyi Yang · Pengfei Li · Tongxin Li · Adam Wierman · Shaolei Ren
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Poster
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Wed 15:00
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Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning
Jing Zhang · Chi Zhang · Wenjia Wang · Bingyi Jing
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Workshop
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Sample-Efficient Online Imitation Learning using Pretrained Behavioural Cloning Policies
Joe Watson · Jan Peters
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Poster
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Wed 8:45
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Residual Q-Learning: Offline and Online Policy Customization without Value
Chenran Li · Chen Tang · Haruki Nishimura · Jean Mercat · Masayoshi TOMIZUKA · Wei Zhan
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Workshop
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Double Policy Estimation for Importance Sampling in Sequence Modeling-Based Reinforcement Learning
Hanhan Zhou · Tian Lan · Vaneet Aggarwal
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Workshop
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Double Policy Estimation for Importance Sampling in Sequence Modeling-Based Reinforcement Learning
Hanhan Zhou · Tian Lan · Vaneet Aggarwal
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Poster
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Thu 8:45
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Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method
Constantine Caramanis · Dimitris Fotakis · Alkis Kalavasis · Vasilis Kontonis · Christos Tzamos
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Poster
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Thu 15:00
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QATCH: Benchmarking SQL-centric tasks with Table Representation Learning Models on Your Data
Simone Papicchio · Paolo Papotti · Luca Cagliero
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Workshop
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Continual Driving Policy Optimization with Closed-Loop Individualized Curricula
Haoyi Niu · Yizhou Xu · Xingjian Jiang · Jianming HU
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Poster
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Thu 15:00
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Efficient Symbolic Policy Learning with Differentiable Symbolic Expression
Jiaming Guo · Rui Zhang · Shaohui Peng · Qi Yi · Xing Hu · Ruizhi Chen · Zidong Du · xishan zhang · Ling Li · Qi Guo · Yunji Chen
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Poster
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Thu 8:45
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Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning
Zih-Yun Chiu · Yi-Lin Tuan · William Yang Wang · Michael Yip
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