ray/rllib/tuned_examples/regression_tests/cartpole-ars-tf.yaml

cartpole-ars-tf:
    env: CartPole-v0
    run: ARS
    stop:
        episode_reward_mean: 50
        timesteps_total: 500000
    config:
        use_pytorch: false
        noise_stdev: 0.02
        num_rollouts: 50
        rollouts_used: 25
        num_workers: 2
        sgd_stepsize: 0.01
        noise_size: 25000000
        eval_prob: 0.5
        model:
            fcnet_hiddens: []  # a linear policy
[RLlib] PyTorch version of ARS (Augmented Random Search). (#8106) This PR implements a PyTorch version of RLlib's ARS algorithm using RLlib's functional algo builder API. It also adds a regression test for ARS (torch) on CartPole. 2020-04-21 09:47:52 +02:00			`cartpole-ars-tf:`
[rllib] add augmented random search (#2714) * added ars * functioning ars with regression test * added regression tests for ARs * fixed default config for ARS * ARS code runs, now time to test * ARS working and tested, changed std deviation of meanstd filter to initialize to 1 * ARS working and tested, changed std deviation of meanstd filter to initialize to 1 * pep8 fixes * removed unused linear model * address comments * more fixing comments * post yapf * fixed support failure * Update LICENSE * Update policies.py * Update test_supported_spaces.py * Update policies.py * Update LICENSE * Update test_supported_spaces.py * Update policies.py * Update policies.py * Update filter.py 2018-08-24 22:20:02 -07:00			`env: CartPole-v0`
			`run: ARS`
			`stop:`
[rllib] Run simple regressions tests for all algs in jenkins (#3498) 2018-12-11 17:21:53 -08:00			`episode_reward_mean: 50`
			`timesteps_total: 500000`
[rllib] add augmented random search (#2714) * added ars * functioning ars with regression test * added regression tests for ARs * fixed default config for ARS * ARS code runs, now time to test * ARS working and tested, changed std deviation of meanstd filter to initialize to 1 * ARS working and tested, changed std deviation of meanstd filter to initialize to 1 * pep8 fixes * removed unused linear model * address comments * more fixing comments * post yapf * fixed support failure * Update LICENSE * Update policies.py * Update test_supported_spaces.py * Update policies.py * Update LICENSE * Update test_supported_spaces.py * Update policies.py * Update policies.py * Update filter.py 2018-08-24 22:20:02 -07:00			`config:`
[RLlib] PyTorch version of ARS (Augmented Random Search). (#8106) This PR implements a PyTorch version of RLlib's ARS algorithm using RLlib's functional algo builder API. It also adds a regression test for ARS (torch) on CartPole. 2020-04-21 09:47:52 +02:00			`use_pytorch: false`
[rllib] add augmented random search (#2714) * added ars * functioning ars with regression test * added regression tests for ARs * fixed default config for ARS * ARS code runs, now time to test * ARS working and tested, changed std deviation of meanstd filter to initialize to 1 * ARS working and tested, changed std deviation of meanstd filter to initialize to 1 * pep8 fixes * removed unused linear model * address comments * more fixing comments * post yapf * fixed support failure * Update LICENSE * Update policies.py * Update test_supported_spaces.py * Update policies.py * Update LICENSE * Update test_supported_spaces.py * Update policies.py * Update policies.py * Update filter.py 2018-08-24 22:20:02 -07:00			`noise_stdev: 0.02`
[rllib] Use SGD optimizer for ARS (#2916) 2018-09-26 22:32:26 -07:00			`num_rollouts: 50`
			`rollouts_used: 25`
[rllib] add augmented random search (#2714) * added ars * functioning ars with regression test * added regression tests for ARs * fixed default config for ARS * ARS code runs, now time to test * ARS working and tested, changed std deviation of meanstd filter to initialize to 1 * ARS working and tested, changed std deviation of meanstd filter to initialize to 1 * pep8 fixes * removed unused linear model * address comments * more fixing comments * post yapf * fixed support failure * Update LICENSE * Update policies.py * Update test_supported_spaces.py * Update policies.py * Update LICENSE * Update test_supported_spaces.py * Update policies.py * Update policies.py * Update filter.py 2018-08-24 22:20:02 -07:00			`num_workers: 2`
[rllib] Use SGD optimizer for ARS (#2916) 2018-09-26 22:32:26 -07:00			`sgd_stepsize: 0.01`
[rllib] Run simple regressions tests for all algs in jenkins (#3498) 2018-12-11 17:21:53 -08:00			`noise_size: 25000000`
[rllib] add augmented random search (#2714) * added ars * functioning ars with regression test * added regression tests for ARs * fixed default config for ARS * ARS code runs, now time to test * ARS working and tested, changed std deviation of meanstd filter to initialize to 1 * ARS working and tested, changed std deviation of meanstd filter to initialize to 1 * pep8 fixes * removed unused linear model * address comments * more fixing comments * post yapf * fixed support failure * Update LICENSE * Update policies.py * Update test_supported_spaces.py * Update policies.py * Update LICENSE * Update test_supported_spaces.py * Update policies.py * Update policies.py * Update filter.py 2018-08-24 22:20:02 -07:00			`eval_prob: 0.5`
[rllib] Run simple regressions tests for all algs in jenkins (#3498) 2018-12-11 17:21:53 -08:00			`model:`
			`fcnet_hiddens: [] # a linear policy`