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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
22 lines
582 B
YAML
22 lines
582 B
YAML
# You can expect ~20 reward within 1.1m timesteps / 2.1 hours on a K80 GPU
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pong-deterministic-dqn:
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env: PongDeterministic-v4
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run: DQN
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stop:
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episode_reward_mean: 20
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time_total_s: 7200
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config:
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num_gpus: 1
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gamma: 0.99
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lr: .0001
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learning_starts: 10000
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buffer_size: 50000
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rollout_fragment_length: 4
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train_batch_size: 32
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exploration_config:
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epsilon_timesteps: 200000
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final_epsilon: .01
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model:
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grayscale: True
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zero_mean: False
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dim: 42
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