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

cartpole-pg:
    env: CartPole-v0
    run: PG
    stop:
        episode_reward_mean: 150
        timesteps_total: 100000
    config:
        # Works for both torch and tf.
        framework: tf
        num_workers: 0
[RLlib] Benchmark and regression test yaml cleanup and restructuring. (#8414) 2020-05-26 11:10:27 +02:00			`cartpole-pg:`
[rllib] Refactor rllib to have a common sample collection pathway (#2149) 2018-06-09 00:21:35 -07:00			`env: CartPole-v0`
			`run: PG`
			`stop:`
[RLlib] Add PG torch regression test (#6828) * Add PG torch regression test to tuned_examples/regression_tests dir. * Rename cartpole-pg.yaml into cartpole-pg-tf.yaml * cartpole-pg-tf.yaml: Change cartpole-pg name of tuned_example to cartpole-pg-tf. 2020-01-19 00:57:12 +01:00			`episode_reward_mean: 150`
[rllib] Run simple regressions tests for all algs in jenkins (#3498) 2018-12-11 17:21:53 -08:00			`timesteps_total: 100000`
[rllib] Refactor rllib to have a common sample collection pathway (#2149) 2018-06-09 00:21:35 -07:00			`config:`
[RLlib] Benchmark and regression test yaml cleanup and restructuring. (#8414) 2020-05-26 11:10:27 +02:00			`# Works for both torch and tf.`
[RLlib] Auto-framework, retire `use_pytorch` in favor of `framework=...` (#8520) 2020-05-27 16:19:13 +02:00			`framework: tf`
[rllib] Run simple regressions tests for all algs in jenkins (#3498) 2018-12-11 17:21:53 -08:00			`num_workers: 0`