mirror of
https://github.com/vale981/ray
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83e06cd30a
* WIP. * WIP. * WIP. * WIP. * WIP. * Fix * WIP. * Add TD3 quick Pendulum regresison. * Cleanup. * Fix. * LINT. * Fix. * Sort quick_learning test cases, add TD3. * Sort quick_learning test cases, add TD3. * Revert test_checkpoint_restore.py (debugging) changes. * Fix old soft_q settings in documentation and test configs. * More doc fixes. * Fix test case. * Fix test case. * Lower test load. * WIP.
25 lines
819 B
YAML
25 lines
819 B
YAML
mujoco-td3:
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# Solve latest versions of the four hardest Mujoco tasks benchmarked in the
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# original TD3 paper. Average return over 10 trials at end of 1,000,000
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# timesteps (taken from Table 2 of the paper) are given in parens at the end
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# of reach environment name.
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#
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# Paper is at https://arxiv.org/pdf/1802.09477.pdf
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env:
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grid_search:
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- HalfCheetah-v2 # (9,532.99)
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- Hopper-v2 # (3,304.75)
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- Walker2d-v2 # (4,565.24)
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- Ant-v2 # (4,185.06)
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run: TD3
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stop:
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timesteps_total: 1000000
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config:
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# === Exploration ===
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learning_starts: 10000
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exploration_config:
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random_timesteps: 10000
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# === Evaluation ===
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evaluation_interval: 5
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evaluation_num_episodes: 10
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