ray/rllib/tuned_examples/td3/pendulum-td3.yaml

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YAML

# This configuration can expect to reach -160 reward in 10k-20k timesteps
pendulum-td3:
env: Pendulum-v1
run: TD3
stop:
episode_reward_mean: -900
timesteps_total: 100000
config:
# Works for both torch and tf.
framework: tf
# === Model ===
actor_hiddens: [64, 64]
critic_hiddens: [64, 64]
# === Exploration ===
replay_buffer_config:
type: MultiAgentReplayBuffer
learning_starts: 5000
exploration_config:
random_timesteps: 5000