ray/rllib/tuned_examples/dqn/stateless-cartpole-r2d2.yaml

stateless-cartpole-r2d2:
    env: ray.rllib.examples.env.stateless_cartpole.StatelessCartPole
    run: R2D2
    stop:
        episode_reward_mean: 150
        timesteps_total: 1000000
    config:
        # Works for both torch and tf.
        framework: tf
        num_workers: 0
        # R2D2 settings.
        burn_in: 20
        zero_init_states: true
        #dueling: false
        lr: 0.0005
        # Give some more time to explore.
        exploration_config:
          epsilon_timesteps: 50000
        # Wrap with an LSTM and use a very simple base-model.
        model:
            fcnet_hiddens: [64]
            fcnet_activation: linear
            use_lstm: true
            lstm_cell_size: 64
            max_seq_len: 20