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+ 2023.05.25(v0.4.8)
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+ - env: fix gym hybrid reward dtype bug (#664)
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+ - env: fix atari env id noframeskip bug (#655)
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+ - env: fix typo in gym any_trading env (#654)
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+ - env: update td3bc d4rl config (#659)
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+ - env: polish bipedalwalker config
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+ - algo: add EDAC offline RL algorithm (#639)
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+ - algo: add LN and GN norm_type support in ResBlock (#660)
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+ - algo: add normal value norm baseline for PPOF (#658)
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+ - algo: polish last layer init/norm in MLP (#650)
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+ - algo: polish TD3 monitor variable
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+ - feature: add MAPPO/MASAC task example (#661)
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+ - feature: add PPO example for complex env observation (#644)
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+ - feature: add barrier middleware (#570)
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+ - fix: abnormal collector log and add record_random_collect option (#662)
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+ - fix: to_item compatibility bug (#646)
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+ - fix: trainer dtype transform compatibility bug
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+ - fix: pettingzoo 1.23.0 compatibility bug
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+ - fix: ensemble head unittest bug
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+ - style: fix incompatible gym version bug in Dockerfile.env (#653)
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+ - style: add more algorithm docs
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+
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2023.04.11(v0.4.7)
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- env: add dmc2gym env support and baseline (#451)
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- env: update pettingzoo to the latest version (#597)
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[ ![ Contributors] ( https://img.shields.io/github/contributors/opendilab/DI-engine )] ( https://github.com/opendilab/DI-engine/graphs/contributors )
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[ ![ GitHub license] ( https://img.shields.io/github/license/opendilab/DI-engine )] ( https://github.com/opendilab/DI-engine/blob/master/LICENSE )
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- Updated on 2023.04.11 DI-engine-v0.4.7
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+ Updated on 2023.05.25 DI-engine-v0.4.8
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## Introduction to DI-engine
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{% set data = load_setup_py_data() %}
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package :
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name : di-engine
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- version : v0.4.7
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+ version : v0.4.8
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source :
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path : ..
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import os
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__TITLE__ = 'DI-engine'
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- __VERSION__ = 'v0.4.7 '
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+ __VERSION__ = 'v0.4.8 '
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__DESCRIPTION__ = 'Decision AI Engine'
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__AUTHOR__ = "OpenDILab Contributors"
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__AUTHOR_EMAIL__ = "[email protected] "
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