update batch size in D3IL so it works with the new form of gradient update
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1d04211666
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@ -76,7 +76,7 @@ train:
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reward_scale_running: True
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reward_scale_running: True
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reward_scale_const: 1.0
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reward_scale_const: 1.0
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gae_lambda: 0.95
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gae_lambda: 0.95
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batch_size: ${eval:'round(${train.n_steps} * ${env.n_envs} / 2)'}
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batch_size: ${eval:'round(${train.n_steps} * ${env.n_envs} * ${ft_denoising_steps} / 2)'}
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update_epochs: 10
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update_epochs: 10
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vf_coef: 0.5
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vf_coef: 0.5
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target_kl: 1
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target_kl: 1
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@ -76,7 +76,7 @@ train:
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reward_scale_running: True
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reward_scale_running: True
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reward_scale_const: 1.0
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reward_scale_const: 1.0
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gae_lambda: 0.95
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gae_lambda: 0.95
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batch_size: ${eval:'round(${train.n_steps} * ${env.n_envs} / 2)'}
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batch_size: ${eval:'round(${train.n_steps} * ${env.n_envs} * ${ft_denoising_steps} / 2)'}
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update_epochs: 10
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update_epochs: 10
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vf_coef: 0.5
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vf_coef: 0.5
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target_kl: 1
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target_kl: 1
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@ -76,7 +76,7 @@ train:
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reward_scale_running: True
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reward_scale_running: True
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reward_scale_const: 1.0
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reward_scale_const: 1.0
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gae_lambda: 0.95
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gae_lambda: 0.95
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batch_size: ${eval:'round(${train.n_steps} * ${env.n_envs} / 2)'}
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batch_size: ${eval:'round(${train.n_steps} * ${env.n_envs} * ${ft_denoising_steps} / 2)'}
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update_epochs: 10
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update_epochs: 10
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vf_coef: 0.5
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vf_coef: 0.5
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target_kl: 1
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target_kl: 1
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