ray/rllib/tuned_examples/ppo/cartpole-ddppo.yaml

cartpole-ddppo:
    env: CartPole-v0
    run: DDPPO
    stop:
        episode_reward_mean: 150
        timesteps_total: 100000
    config:
        framework: torch
        num_gpus_per_worker: 0
[RLlib] Benchmark and regression test yaml cleanup and restructuring. (#8414) 2020-05-26 11:10:27 +02:00			`cartpole-ddppo:`
[rllib] Add Decentralized DDPPO trainer and documentation (#7088) 2020-02-10 15:28:27 -08:00			`env: CartPole-v0`
			`run: DDPPO`
			`stop:`
[RLlib] Benchmark and regression test yaml cleanup and restructuring. (#8414) 2020-05-26 11:10:27 +02:00			`episode_reward_mean: 150`
[rllib] Add Decentralized DDPPO trainer and documentation (#7088) 2020-02-10 15:28:27 -08:00			`timesteps_total: 100000`
			`config:`
[RLlib] Auto-framework, retire `use_pytorch` in favor of `framework=...` (#8520) 2020-05-27 16:19:13 +02:00			`framework: torch`
[rllib] Add Decentralized DDPPO trainer and documentation (#7088) 2020-02-10 15:28:27 -08:00			`num_gpus_per_worker: 0`
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