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Policy Gradient

Experiment with Policy Gradient methods (description), as well as variance reduction.

Current implementation:

  • Continuous and discrete environments
  • Baseline network for variance reduction

Usage

Setup environment

$ conda env create -f [environment.yml | environment_cuda.yml]
$ conda activate [policy_grad | policy_grad_cuda]

Run training

$ python main.py --config_filename config_filename