ray/rllib/tuned_examples/dqn/atari-duel-ddqn.yaml

# Runs on a single g3.4xl node
# See https://github.com/ray-project/rl-experiments for results
dueling-ddqn:
    env:
        grid_search:
            - BreakoutNoFrameskip-v4
            - BeamRiderNoFrameskip-v4
            - QbertNoFrameskip-v4
            - SpaceInvadersNoFrameskip-v4
    run: DQN
    config:
        # Works for both torch and tf.
        framework: tf
        double_q: true
        dueling: true
        num_atoms: 1
        noisy: false
        replay_buffer_config:
          type: MultiAgentReplayBuffer
          learning_starts: 20000
          capacity: 1000000
        n_step: 1
        target_network_update_freq: 8000
        lr: .0000625
        adam_epsilon: .00015
        hiddens: [512]
        rollout_fragment_length: 4
        train_batch_size: 32
        exploration_config:
          epsilon_timesteps: 200000
          final_epsilon: 0.01
        num_gpus: 0.2
        min_sample_timesteps_per_reporting: 10000