facebookresearch / Slbo
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Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
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python
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Stochastic Lower Bound Optimization
This is the TensorFlow implementation for the paper Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees. A PyTorch version will be released later.
Requirements
- OpenAI Baselines
- rllab (commit number
b3a2899
) - MuJoCo (1.5)
- TensorFlow (>= 1.9)
- NumPy (>= 1.14.5)
- Python 3.6
Run
Before running, please make sure that rllab
and baselines
are available
python main.py -c configs/algos/slbo.yml configs/envs/half_cheetah.yml -s log_dir=/tmp
If you want to change hyper-parameters, you can either modify a corresponding yml
file or
change it temporarily by appending model.hidden_sizes='[1000,1000]'
in the command line.
License
See LICENSE for additional details.
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