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22 Results
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Workshop
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Work-in-Progress: Using Symbolic Planning with Deep RL to Improve Learning Tianpei Yang · Srijita Das · Christabel Wayllace · Matthew Taylor |
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Poster
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Tue 8:45 |
Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates Sarath Sreedharan · Michael Katz |
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Workshop
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Learning Generalizable Symbolic Options for Transfer in Reinforcement Learning Rashmeet Kaur Nayyar · Shivanshu Verma · Siddharth Srivastava |
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Workshop
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Fri 7:50 |
Discrete, compositional, and symbolic representations through attractor dynamics Andrew Nam · Eric Elmoznino · Nikolay Malkin · Chen Sun · Yoshua Bengio · Guillaume Lajoie |
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Workshop
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Fri 12:40 |
Discrete, compositional, and symbolic representations through attractor dynamics Andrew Nam · Eric Elmoznino · Nikolay Malkin · Chen Sun · Yoshua Bengio · Guillaume Lajoie |
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Workshop
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Sat 9:15 |
Hierarchical Reinforcement Learning with AI Planning Models Junkyu Lee · Michael Katz · Don Joven Agravante · Miao Liu · Geraud Nangue Tasse · Tim Klinger · Shirin Sohrabi Araghi |
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Workshop
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Learning AI-System Capabilities under Stochasticity Pulkit Verma · Rushang Karia · Gaurav Vipat · Anmol Gupta · Siddharth Srivastava |
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Poster
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Tue 15:15 |
Neuro-symbolic Learning Yielding Logical Constraints Zenan Li · Yunpeng Huang · Zhaoyu Li · Yuan Yao · Jingwei Xu · Taolue Chen · Xiaoxing Ma · Jian Lu |
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Workshop
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Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures Michael Hersche · Francesco Di Stefano · Thomas Hofmann · Abu Sebastian · Abbas Rahimi |
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Poster
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Thu 15:00 |
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 |