LOLA_DiCE: Pytorch implementation of LOLA using DiCE

LOLA_DiCE

Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)

Quick results:

Results on IPD using DiCE

[lr_in=0.3, lr_out=0.2, lr_v=0.1, batch_size=128, len_rollout=150, use_baseline=True]

Results on IPD using DiCE and opponent modelling

[lr_in=0.3, lr_out=0.2, lr_v=0.1, batch_size=128, len_rollout=150, use_baseline=True] (It seems that 2 lookaheads is the most stable model with this set of hyperparameters)

Results on IPD using exact gradients

[lr_in=0.3, lr_out=0.2, batch_size=128, len_rollout=150]

Results on IPD using exact gradients and opponent modelling

[lr_in=0.3, lr_out=0.2, batch_size=128, len_rollout=150]

Authors version:

The authors of the paper have their own version (Tensorflow) available here: https://github.com/alshedivat/lola

Download Details:

Author: Alexis-jacq
Source Code: https://github.com/alexis-jacq/LOLA_DiCE 
License: MIT license

#machinelearning #python #pytorch