ray/rllib/tuned_examples/regression_tests/cartpole-dqn-tf.yaml at ae2e1f0883e3bb98344c2d3838a415f9986b6d75 - hiro/ray - Forgejo: Beyond coding. We Forge.

hiro/ray

mirror of https://github.com/vale981/ray synced 2025-03-06 18:41:40 -05:00

Sven Mika 22ccc43670

[RLlib] DQN torch version. (#7597 )

* Fix.

* Rollback.

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* Fix.

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* Fix.

* Test case fixes.

* Test case fixes and LINT.

* Test case fixes and LINT.

* Rollback.

* WIP.

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* Test case fixes.

* Fix.

* Fix.

* Fix.

* Add regression test for DQN w/ param noise.

* Fixes and LINT.

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* Comment

* Regression test case.

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* Fix.

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* Fix (SAC does currently not support eager).

* Fix.

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* Update rllib/evaluation/sampler.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* Update rllib/evaluation/sampler.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* Update rllib/utils/exploration/exploration.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* Update rllib/utils/exploration/exploration.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* WIP.

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* Fix.

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* Fix and LINT.

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* Fix.

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* Fix.

* Fix and LINT.

* Update rllib/utils/exploration/exploration.py

* Update rllib/policy/dynamic_tf_policy.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* Update rllib/policy/dynamic_tf_policy.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* Update rllib/policy/dynamic_tf_policy.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* Fixes.

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* LINT and fixes.

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* Move action_dist back into torch extra_action_out_fn and LINT.

* Working SimpleQ learning cartpole on both torch AND tf.

* Working Rainbow learning cartpole on tf.

* Working Rainbow learning cartpole on tf.

* WIP.

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* Update docs and add torch to APEX test.

* LINT.

* Fix.

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* Fix.

* Fix.

* Fix and docstrings.

* Fix broken RLlib tests in master.

* Split BAZEL learning tests into cartpole and pendulum (reached the 60min barrier).

* Fix error_outputs option in BAZEL for RLlib regression tests.

* Fix.

* Tune param-noise tests.

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* Fix.

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* test

* test

* test

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* WIP.

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* LINT.

* WIP.

Co-authored-by: Eric Liang <ekhliang@gmail.com>

2020-04-06 11:56:16 -07:00

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 cartpole-dqn-tf:
     env: CartPole-v0
     run: DQN
     stop:
         episode_reward_mean: 150
         timesteps_total: 50000
     config:
         use_pytorch: false
         n_step: 3
         gamma: 0.95