A reinforcement learning algorithm library
Project description
vortex
A reinforcement learning algorithm framework
1. quick start
2. run tests
Run the following commands under project root directory (rlvortex/)
- test gym environments with target environment and render option.
$ make -f runs/run_tests.mk [target_environment(-render)]- target_envrionment in [carpole, mountaincarc]
- -render can not optional; if render is enabled, the test will run with GUI.
- example (cartpole):
- run cartpole headless test
make -f runs/run_tests.mk cartpole - run cartpole with GUI test
make -f runs/run_tests.mk cartpole-render
- run cartpole headless test
- test all gym environments headlessly
make -f runs/run_tests.mk all-headless - test all gym environments with GUI
make -f runs/run_tests.mk all-render
3. benchmark
Run the following commands under project root directory (rlvortex/)
''' $ make -f run_trainers.mk [target_environment(-render)]
''' ''' $ make -f runs/run_trainers.mk [cartpole-vpg] '''
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