mirror of
https://github.com/vale981/ray
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29 lines
805 B
YAML
29 lines
805 B
YAML
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# Can expect improvement to -140 reward in ~300-500k timesteps.
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pendulum-ppo:
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env: ray.rllib.examples.env.transformed_action_space_env.TransformedActionPendulum
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run: PPO
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stop:
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episode_reward_mean: -500
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timesteps_total: 400000
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config:
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# Works for both torch and tf.
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framework: tf
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# Test, whether PPO is able to learn in "distorted" action spaces.
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env_config:
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config:
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low: 300.0
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high: 500.0
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normalize_actions: true
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clip_actions: false
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vf_clip_param: 10.0
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num_envs_per_worker: 20
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lambda: 0.1
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gamma: 0.95
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lr: 0.0003
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train_batch_size: 512
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sgd_minibatch_size: 64
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num_sgd_iter: 6
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observation_filter: MeanStdFilter
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