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+ ---
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+ tags:
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+ - decisionTransformer
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+ - deep reinforcement
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+ language:
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+ - af
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+ - am
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+ - ar
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+ - as
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+ - az
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+ - be
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+ - bg
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+ - bn
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+ - br
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+ - bs
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+ - ca
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+ - cs
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+ - cy
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+ - da
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+ - de
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+ - el
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+ - en
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+ - eo
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+ - es
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+ - et
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+ - eu
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+ - fa
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+ - fi
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+ - fr
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+ - fy
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+ - ga
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+ - gd
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+ - gl
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+ - gu
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+ - ha
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+ - he
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+ - hi
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+ - hr
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+ - hu
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+ - hy
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+ - id
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+ - is
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+ - it
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+ - ja
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+ - jv
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+ - ka
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+ - kk
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+ - km
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+ - kn
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+ - ko
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+ - ku
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+ - ky
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+ - la
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+ - lo
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+ - lt
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+ - lv
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+ - mg
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+ - mk
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+ - ml
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+ - mn
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+ - mr
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+ - ms
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+ - my
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+ - ne
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+ - nl
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+ - no
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+ - om
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+ - or
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+ - pa
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+ - pl
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+ - ps
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+ - pt
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+ - ro
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+ - ru
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+ - sa
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+ - sd
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+ - si
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+ - sk
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+ - sl
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+ - so
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+ - sq
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+ - sr
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+ - su
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+ - sv
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+ - sw
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+ - ta
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+ - te
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+ - th
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+ - tl
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+ - tr
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+ - ug
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+ - uk
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+ - ur
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+ - uz
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+ - vi
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+ - xh
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+ - yi
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+ - zh
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+ datasets:
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+ - edbeeching/decision_transformer_gym_replay
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+ license:
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+ - mit
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+ ---
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+
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+ ### Running training
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+ - Num examples = 1000
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+ - Num Epochs = 120
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+ - Instantaneous batch size per device = 64
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+ - Total train batch size = 64
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+ - Gradient Accumulation steps = 1
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+ - Total optimization steps = 1920
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+
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+ ### Train Output
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+ - global_step = 1920
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+ - train_runtime = 1849.2158
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+ - train_samples_per_second = 64.892
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+ - train_steps_per_second = 1.038
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+ - train_loss = 0.04717305501302083
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+ - epoch = 120.0
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+
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+ ### Dataset
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+ - edbeeching/decision_transformer_gym_replay
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+ - halfcheetah-expert-v2