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

cartpole-impala:
    env: CartPole-v0
    run: IMPALA
    stop:
        episode_reward_mean: 150
        timesteps_total: 500000
    config:
        # Works for both torch and tf.
        framework: tf
        num_gpus: 0
        vtrace_drop_last_ts: false
[RLlib] Auto-framework, retire `use_pytorch` in favor of `framework=...` (#8520) 2020-05-27 16:19:13 +02:00			`cartpole-impala:`
[RLlib] IMPALA PyTorch (#8287) This PR adds an IMPALA PyTorch implementation. - adds compilation tests for LSTM and w/o LSTM. - adds learning test for CartPole. 2020-05-03 13:44:25 +02:00			`env: CartPole-v0`
			`run: IMPALA`
			`stop:`
			`episode_reward_mean: 150`
			`timesteps_total: 500000`
			`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] IMPALA PyTorch (#8287) This PR adds an IMPALA PyTorch implementation. - adds compilation tests for LSTM and w/o LSTM. - adds learning test for CartPole. 2020-05-03 13:44:25 +02:00			`num_gpus: 0`
[RLlib] Optionally don't drop last ts in v-trace calculations (APPO and IMPALA). (#19601) 2021-11-03 10:01:34 +01:00			`vtrace_drop_last_ts: false`