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Zero win rate in SMAC scenario

Open George-Chia opened this issue 2 years ago • 2 comments

Hello, thanks for your elegant code. When I directly run: python dicg_ce_smac_runner.py --map 3s_vs_5z python dicg_ce_smac_runner.py --map 6h_vs_8z the win rate is always zero.

When I directly run: python dicg_ce_smac_runner.py --map 8m_vs_9m the win rate is lower than 0.1, which are very different from the results reported in the paper.

Can you give me a hand?

George-Chia avatar Jul 09 '22 10:07 George-Chia

How many environment steps did your experiments take?

parachutel avatar Jul 09 '22 10:07 parachutel

More than 800 steps shown in the tensorboard, where I find the EvalAvgReturn is converge to 10.8. By the way, dicg_de_smac_runner.py --map 8m_vs_9m can achieve 0.9 win rate in the same environment step.

George-Chia avatar Jul 09 '22 15:07 George-Chia