News#
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2023#
2023.12.01 Preprints of our twin papers: (1) SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation (slides, 日本語スライド), and (2) Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation (slides, 日本語スライド) are now available at arXiv!
2023.7.30 Released v0.2.1 of SCOPE-RL! This release upgrades the version of d3rlpy from 1.1.1 to 2.0.4.
2023.7.21 Released v0.1.1 of SCOPE-RL! [PyPI] [Release Note]