ray/rllib/tuned_examples/apex_ddpg/mountaincarcontinuous-apex-ddpg.yaml

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YAML

# This can be expected to reach 90 reward within ~1.5-2.5m timesteps / ~150-250 seconds on a K40 GPU
mountaincarcontinuous-apex-ddpg:
env: MountainCarContinuous-v0
run: APEX_DDPG
stop:
episode_reward_mean: 90
config:
# Works for both torch and tf.
framework: tf
clip_rewards: False
num_workers: 16
exploration_config:
ou_base_scale: 1.0
n_step: 3
target_network_update_freq: 50000
tau: 1.0
evaluation_interval: 5
evaluation_duration: 10