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[rllib] Add downscale and frameskip options for Montezumas (#908)
* up * update * fix * update * update * update * api break * Update run_multi_node_tests.sh * fix
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committed by
Philipp Moritz
parent
7a36430399
commit
1ebfe9608f
@@ -89,7 +89,7 @@ docker run --shm-size=10G --memory=10G $DOCKER_SHA \
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--env CartPole-v0 \
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--alg DQN \
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--num-iterations 2 \
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--config '{"lr": 1e-3, "schedule_max_timesteps": 100000, "exploration_fraction": 0.1, "exploration_final_eps": 0.02, "dueling": false, "hiddens": [], "model_config": {"fcnet_hiddens": [64], "fcnet_activation": "relu"}}'
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--config '{"lr": 1e-3, "schedule_max_timesteps": 100000, "exploration_fraction": 0.1, "exploration_final_eps": 0.02, "dueling": false, "hiddens": [], "model": {"fcnet_hiddens": [64], "fcnet_activation": "relu"}}'
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docker run --shm-size=10G --memory=10G $DOCKER_SHA \
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python /ray/python/ray/rllib/train.py \
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@@ -97,3 +97,10 @@ docker run --shm-size=10G --memory=10G $DOCKER_SHA \
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--alg DQN \
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--num-iterations 2 \
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--config '{"lr": 1e-4, "schedule_max_timesteps": 2000000, "buffer_size": 10000, "exploration_fraction": 0.1, "exploration_final_eps": 0.01, "train_freq": 4, "learning_starts": 10000, "target_network_update_freq": 1000, "gamma": 0.99, "prioritized_replay": true}'
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docker run --shm-size=10G --memory=10G $DOCKER_SHA \
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python /ray/python/ray/rllib/train.py \
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--env MontezumaRevenge-v0 \
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--alg PPO \
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--num-iterations 2 \
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--config '{"kl_coeff": 1.0, "num_sgd_iter": 10, "sgd_stepsize": 1e-4, "sgd_batchsize": 64, "timesteps_per_batch": 2000, "num_workers": 1, "model": {"downscale_factor": 4, "conv_filters": [[16, [8, 8], 4], [32, [4, 4], 2], [512, [5, 5], 1]]}, "extra_frameskip": 4}'
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