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

cartpole-es:
    env: CartPole-v0
    run: ES
    stop:
        episode_reward_mean: 150
        timesteps_total: 1000000
    config:
        # Works for both torch and tf.
        framework: tf
        num_workers: 2
        noise_size: 25000000
        episodes_per_batch: 50
[RLlib] Benchmark and regression test yaml cleanup and restructuring. (#8414) 2020-05-26 11:10:27 +02:00			`cartpole-es:`
[rllib] Basic regression tests on CartPole (#1608) * Sun Feb 25 21:36:22 PST 2018 * Sun Feb 25 21:42:09 PST 2018 * Sun Feb 25 21:44:30 PST 2018 * fix lint * Wed Feb 28 12:41:49 PST 2018 2018-03-03 16:27:56 -08:00			`env: CartPole-v0`
			`run: ES`
			`stop:`
[RLlib] PyTorch version of ES (Evolution Strategies). (#8104) PyTorch version of Evolution Strategies (ES) Algo. 2020-04-20 21:47:28 +02:00			`episode_reward_mean: 150`
[RLlib] Make sure torch and tf behave the same wrt conv2d nets. (#8785) 2020-06-20 00:05:19 +02:00			`timesteps_total: 1000000`
[rllib] Basic regression tests on CartPole (#1608) * Sun Feb 25 21:36:22 PST 2018 * Sun Feb 25 21:42:09 PST 2018 * Sun Feb 25 21:44:30 PST 2018 * fix lint * Wed Feb 28 12:41:49 PST 2018 2018-03-03 16:27:56 -08:00			`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] Basic regression tests on CartPole (#1608) * Sun Feb 25 21:36:22 PST 2018 * Sun Feb 25 21:42:09 PST 2018 * Sun Feb 25 21:44:30 PST 2018 * fix lint * Wed Feb 28 12:41:49 PST 2018 2018-03-03 16:27:56 -08:00			`num_workers: 2`
			`noise_size: 25000000`
			`episodes_per_batch: 50`