mirror of
https://github.com/vale981/ray
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23 lines
681 B
YAML
23 lines
681 B
YAML
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invertedpendulum-td3:
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# This is a TD3 with stopping conditions and network size tuned specifically
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# for InvertedPendulum. Should be able to reach 1,000 reward (the maximum
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# achievable) in 10,000 to 20,000 steps.
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env: InvertedPendulum-v2
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run: TD3
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stop:
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episode_reward_mean: 9999.9
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time_total_s: 900 # 15 minutes
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timesteps_total: 1000000
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config:
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# === Model ===
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actor_hiddens: [32, 32]
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critic_hiddens: [32, 32]
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# === Exploration ===
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learning_starts: 1000
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pure_exploration_steps: 1000
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# === Evaluation ===
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evaluation_interval: 1
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evaluation_num_episodes: 5
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