15 citations · 28 across the 9 of their papers we have counts for
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cs.LG2024★ 3 cited
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning
Shengyi Huang, Quentin Gallouédec, Florian Felten +30
In many Reinforcement Learning (RL) papers, learning curves are useful indicators to measure the effectiveness of RL algorithms. However, the complete raw data of the learning curv…
cs.SE2024★ 10 cited
PyTester: Deep Reinforcement Learning for Text-to-Testcase Generation
Wannita Takerngsaksiri, Rujikorn Charakorn, Chakkrit Tantithamthavorn +1
Test-driven development (TDD) is a widely-employed software development practice that mandates writing test cases based on requirements before writing the actual code. While writin…