https://pypi.org/project/pycfrl/ Recent updates to the Python Package Index for pycfrl en https://pypi.org/project/pycfrl/0.3.2/ The PyCFRL package implements algorithms to ensure counterfactual fairness in reinforcement learning and provides tools for evaluating the value and counterfactual fairness of reinforcement learning policies. jhzhang0621@gmail.com Sat, 30 May 2026 15:58:49 GMT https://pypi.org/project/pycfrl/0.3.1/ The PyCFRL package implements algorithms to ensure counterfactual fairness in reinforcement learning and provides tools for evaluating the value and counterfactual fairness of reinforcement learning policies. jhzhang0621@gmail.com Wed, 27 May 2026 06:47:41 GMT https://pypi.org/project/pycfrl/0.3.0/ The PyCFRL package implements algorithms to ensure counterfactual fairness in reinforcement learning and provides tools for evaluating the value and counterfactual fairness of reinforcement learning policies. jhzhang0621@gmail.com Tue, 30 Sep 2025 00:06:32 GMT https://pypi.org/project/pycfrl/0.2.0/ The PyCFRL package implements algorithms to ensure counterfactual fairness in reinforcement learning and provides tools for evaluating the value and counterfactual fairness of reinforcement learning policies. jhzhang0621@gmail.com Mon, 29 Sep 2025 19:08:15 GMT https://pypi.org/project/pycfrl/0.1.1/ The CFRL package implements algorithms to ensure counterfactual fairness in reinforcement learning and provides tools for evaluating the value and counterfactual fairness of reinforcement learning policies. jhzhang0621@gmail.com Sun, 28 Sep 2025 20:45:59 GMT https://pypi.org/project/pycfrl/0.1.0/ The CFRL package implements algorithms to ensure counterfactual fairness in reinforcement learning and provides tools for evaluating the value and counterfactual fairness of reinforcement learning policies. jhzhang0621@gmail.com Sun, 28 Sep 2025 20:32:40 GMT