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Dipam Chakraborty — most-cited papers & profile · Reinforcement Learning
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Dipam Chakraborty
2
papers ·
10
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark
2021 · 7 citations
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning
2024 · 3 citations
Top co-authors
Adrien Gaidon
· 1
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Arjun KG
· 1
Blake Wulfe
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Brent Yi
· 1
Chang Ye
· 1
Christopher Hesse
· 1
Chufan Chen
· 1
Cyril Roumégous
· 1
Daniel S.W. Tan
· 1
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