Baselines: The Atari pretrained model downloader be removed?

Created on 27 Feb 2018  路  5Comments  路  Source: openai/baselines

In DQN's README, it gives a way to download the pretrained model:

python -m baselines.deepq.experiments.atari.download_model

But it seems the atari.download_model already be removed in experiments directory.

Most helpful comment

I think this was removed because it was out of date and stopped working. You can browse a different commit to find the script and try it.

Ideally, this should be removed from the README if it indeed no longer works. Otherwise, it should be added back to the repo.

All 5 comments

I think this was removed because it was out of date and stopped working. You can browse a different commit to find the script and try it.

Ideally, this should be removed from the README if it indeed no longer works. Otherwise, it should be added back to the repo.

Is there any alternative? I'm looking for pre-trained model of Pong and few other Atari games for benchmarking and experiments.

@yrevar i strongly recommend training them again if you can. They were using outdated atari processing stuff

By the way, I can鈥檛 find the auto saved model since I trained it by myself. Does anyone have same problem?

@Chenyao2333 read the code, somehow it's been commented out.

    act = deepq.learn(
        env,
        q_func=model,
        lr=1e-4,
        max_timesteps=args.num_timesteps,
        buffer_size=10000,
        exploration_fraction=0.1,
        exploration_final_eps=0.01,
        train_freq=4,
        learning_starts=10000,
        target_network_update_freq=1000,
        gamma=0.99,
        prioritized_replay=bool(args.prioritized)
    )
    # act.save("pong_model.pkl") XXX
    env.close()
Was this page helpful?
0 / 5 - 0 ratings

Related issues

astier picture astier  路  8Comments

scotthuang1989 picture scotthuang1989  路  7Comments

PolarisYxh picture PolarisYxh  路  10Comments

wonchul-kim picture wonchul-kim  路  7Comments

sanjeevanahilan picture sanjeevanahilan  路  17Comments