Provide options for multi-objective tuning #98
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* extensive examples * update coma and add examples * examples for marl * update the installation of SMAC * arguments list * update docs * update discord invite link * update dqn docs * support optuna for dqn (#75) * hyperparams for ddqn * contributing to us * agent.current_step (#79) * pdqn_agent.md commit (#80) * pdqn_agent.md commit1 * pdqn_agent.md commit2 * update readme and move demo to examples * td3算法简介 (#81) Co-authored-by: xiaoyangquan2002 <[email protected]> * docs for hyperpameters tuning (#75) * docs for hyperpameters tuning (#75) * api documentation for tuning tools * api documentation for tuning tools * api documentation for tuning tools * api documentation for tuning tools * update DQN document (#82) * td3算法简介 * docs for hyperpameters tuning (#75) * docs for hyperpameters tuning (#75) * api documentation for tuning tools * api documentation for tuning tools * api documentation for tuning tools * api documentation for tuning tools * update DQN document --------- Co-authored-by: xiaoyangquan2002 <[email protected]> Co-authored-by: wenzhangliu <[email protected]> * hyperparameters setting for other algorithms (#77) * hyperparameters setting for marl algorithms (#77) * hyperparameters setting for marl algorithms (#77) * update test files * add basic examples for drl * test for hyperparameters tuning * update qrdqn configs * a2c_agent.md commit (#90) * pdqn_agent.md commit1 * pdqn_agent.md commit2 * a2c_agent.md commit-1 * add SAC document (#92) * add SAC document * update TD3 document * update sac document * update TD3 document --------- Co-authored-by: xiaoyangquan2002 <[email protected]> * DDPG.md (#93) * add SAC document (#94) * add SAC document * update TD3 document * update sac document * update TD3 document --------- Co-authored-by: xiaoyangquan2002 <[email protected]> * example for dqn tuning * hyperparameters tuning * update configs * remove to examples * Add README_CN.md * update readme * update readme * tune example * installation for torch-scatter (#73) * update * multi-objective tuning * return information during training #96 * itemgetter for one agent #97 * selected objectives for multi-objective tuning #98 * selected objectives for multi-objective tuning #98 * update readme * installation * environment link * environment link * docs for multi-objective tuning #100 * Add NPG agent and NPG learner (#102) * complete the installation docs for torch-scatter #73 * complete the docs for multi-objective tuning #100 * environments * environments * complete the docs for multi-objective tuning #100 * npg config files #84 * usage update * Add npg_agent.md (#103) * Add NPG agent and NPG learner * Add npg_agent.md and npg_learner.rst * docs for npg * npg index * npg comments * npg docs * distributed training docs * distributed training docs * api annotation for operations * update readme * set_device * v1.2.6 --------- Co-authored-by: TangY1fan <[email protected]> Co-authored-by: xiaoyangquan2002 <[email protected]> Co-authored-by: xiaoyangquan2002 <[email protected]> Co-authored-by: XiangDuojie <[email protected]>
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Predefine some multi-objective tuning tools for users to search the best set of hyperparameters.
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