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2405.03064
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RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation
International Conference on Machine Learning (ICML), 2024
5 May 2024
Zelei Cheng
Xian Wu
Jiahao Yu
Sabrina Yang
Gang Wang
Xinyu Xing
OffRL
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Papers citing
"RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation"
6 / 6 papers shown
GPO: Learning from Critical Steps to Improve LLM Reasoning
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Adaptive Network Security Policies via Belief Aggregation and Rollout
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21 Jul 2025
A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning
Yuzheng Hu
Fan Wu
Haotian Ye
David A. Forsyth
James Y. Zou
Nan Jiang
Jiaqi W. Ma
Han Zhao
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25 May 2025
PaperBench: Evaluating AI's Ability to Replicate AI Research
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Oliver Jaffe
Dane Sherburn
James Aung
Jun Shern Chan
...
Benjamin Kinsella
Wyatt Thompson
Johannes Heidecke
Amelia Glaese
Tejal Patwardhan
ALM
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02 Apr 2025
Behaviour Discovery and Attribution for Explainable Reinforcement Learning
Rishav Rishav
Somjit Nath
Vincent Michalski
Samira Ebrahimi Kahou
FAtt
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502
1
0
19 Mar 2025
Optimal Defender Strategies for CAGE-2 using Causal Modeling and Tree Search
K. Hammar
Neil Dhir
Rolf Stadler
278
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12 Jul 2024
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