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https://github.com/vale981/ray
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dd70720578
* bulk rename * deprecation warn * update doc * update fig * line length * rename * make pytest comptaible * fix test * fi sys * rename * wip * fix more * lint * update svg * comments * lint * fix use of batch steps
57 lines
1.5 KiB
YAML
57 lines
1.5 KiB
YAML
# This configuration can expect to reach -160 reward in 10k-20k timesteps
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pendulum-ddpg:
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env: Pendulum-v0
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run: DDPG
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stop:
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episode_reward_mean: -160
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timesteps_total: 100000
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config:
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# === Model ===
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actor_hiddens: [64, 64]
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critic_hiddens: [64, 64]
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n_step: 1
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model: {}
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gamma: 0.99
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env_config: {}
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# === Exploration ===
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exploration_config:
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type: "OrnsteinUhlenbeckNoise"
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scale_timesteps: 10000
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initial_scale: 1.0,
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final_scale: 0.02
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ou_base_scale: 0.1
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ou_theta: 0.15
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ou_sigma: 0.2
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timesteps_per_iteration: 600
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target_network_update_freq: 0
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tau: 0.001
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# === Replay buffer ===
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buffer_size: 10000
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prioritized_replay: True
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prioritized_replay_alpha: 0.6
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prioritized_replay_beta: 0.4
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prioritized_replay_eps: 0.000001
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clip_rewards: False
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# === Optimization ===
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actor_lr: 0.001
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critic_lr: 0.001
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use_huber: True
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huber_threshold: 1.0
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l2_reg: 0.000001
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learning_starts: 500
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rollout_fragment_length: 1
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train_batch_size: 64
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# === Parallelism ===
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num_workers: 0
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num_gpus_per_worker: 0
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#per_worker_exploration: False
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worker_side_prioritization: False
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# === Evaluation ===
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evaluation_interval: 5
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evaluation_num_episodes: 10
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