ray/rllib/tuned_examples/marwil/cartpole-marwil.yaml

# To generate training data, first run:
# $ ./train.py --run=PPO --env=CartPole-v0 \
#      --stop='{"timesteps_total": 50000}' \
#      --config='{"output": "/tmp/out", "batch_mode": "complete_episodes"}'
cartpole-marwil:
    env: CartPole-v0
    run: MARWIL
    stop:
        timesteps_total: 500000
    config:
        # Works for both torch and tf.
        framework: tf
        beta:
            grid_search: [0, 1]   # compare IL (beta=0) vs MARWIL
        input: /tmp/out