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PlugRL
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E44: a C++ program with no third-party libraries trains a policy on its own Pendulum
CI
#251:
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E43: training with the env clients on another physical machine, and what the crossing costs
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E43: training with the env clients on another physical machine, and what the crossing costs
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Merge pull request #98 from PlugRL/docs/readme-positioning
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README: open with what the split allows and what was measured
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Merge pull request #97 from PlugRL/figure/square-gaussian-pi0
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Merge pull request #96 from PlugRL/exp/e41-square-fpo-plus-plus-8m
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Coverage figure: sixteen cells, all learn - Gaussian square (E40), fpo-policy · FPO · square (E41), square plots success
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figure/square-gaussian-pi0
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E41: E39 resumed to FPO++'s 8M steps - fpo-policy · FPO learns square by the bar, two of three seeds
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Merge pull request #94 from PlugRL/exp/e40-square-gaussian-ppo
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Merge pull request #92 from PlugRL/feat/dppo-gaussian-square
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Merge pull request #95 from PlugRL/exp/e39-square-fpo-plus-plus
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Merge pull request #91 from PlugRL/feat/fpo-plus-plus-optimizer
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Merge pull request #93 from PlugRL/exp/e36-pi0-longer
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Merge pull request #90 from PlugRL/figure/square-e37
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Merge pull request #89 from PlugRL/exp/e37-square-fpo-policy
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figure: fpo-policy's square cells from E37
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E37: from the same clone, fpo-policy learns square under DPPO and falls under our FPO
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E39: with FPO++'s full square fine-tuning, FPO lifts the clone on every seed - short of the bar at 4.8M steps
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E40: DPPO's Gaussian MLP learns square under DPPO's own Gaussian PPO
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E36: over ten iterations FPO++ collapses pi0.5 and DPPO barely moves it
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exp/e36-pi0-longer
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dppo-gaussian-policy and ppo dppo-square: DPPO's Gaussian PPO on square
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FPO++'s optimizer, gradient clipping, advantage normalisation and Huber CFM loss, as options
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1m 33s
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figure: fpo-policy's square cells from E37
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E37: from the same clone, fpo-policy learns square under DPPO and falls under our FPO
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