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| Grid/green wave example | ||
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| Action Dimension: (9, ) | ||
| """Evaluates the baseline performance of grid0 without RL control. |
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this only applies to functions. classes and the start of a file do not need to follow the imperative convention (same applies for all below comments).
| Grid/green wave example | ||
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| Action Dimension: (25, ) | ||
| """Evaluates the baseline performance of grid1 without RL control. |
| @@ -0,0 +1,114 @@ | |||
| """Evaluates the baseline performance of merge without RL control. | |||
| @@ -1,5 +1,4 @@ | |||
| """ | |||
| Runner script for environments located in flow/benchmarks. | |||
| """Runs the environments located in flow/benchmarks. | |||
| @@ -1,9 +1,10 @@ | |||
| """ | |||
| Runner script for environments located in flow/benchmarks. | |||
| """Runs the environments located in flow/benchmarks. | |||
flow/benchmarks/rllib/ars_runner.py
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| this runner script is executed on. This file runs the ARS algorithm in rllib | ||
| and utilizes the hyper-parameters specified in: | ||
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| TODO: add paper reference |
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Simple random search provides a competitive approach to reinforcement learning
by Mania et. al
flow/benchmarks/rllib/es_runner.py
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| this runner script is executed on. This file runs the ES algorithm in rllib | ||
| and utilizes the hyper-parameters specified in: | ||
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| TODO: add paper reference |
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Evolution Strategies as a Scalable Alternative to Reinforcement Learning
by Salimans et. al.
flow/benchmarks/rllib/ppo_runner.py
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| this runner script is executed on. This file runs the PPO algorithm in rllib | ||
| and utilizes the hyper-parameters specified in: | ||
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| TODO: add paper reference |
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Proximal Policy Optimization Algorithms
by Schulman et. al.
| class TestBaselines(unittest.TestCase): | ||
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| """ | ||
| Tests that the baselines in the benchmarks folder are running and |
| """ | ||
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| def test_bottleneck0(self): | ||
| """ |
kjang96
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Sep 1, 2018
adding stress tests used to diagnose race conditions
crystalzyan
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to crystalzyan/flow
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Dec 1, 2018
Benchmarks fix
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pydocstyle --convention=numpy