• Use python main.py to run experiments.

• Use argument --load_best_args to use the best hyperparameters for each of the evaluation setting from the paper.

• To reproduce the results in the paper run the following

  python main.py --dataset <dataset> --model <model> --buffer_size <buffer_size> --load_best_args

Examples:

```
python main.py --dataset seq-mnist --model er --buffer_size 500 --load_best_args

python main.py --dataset seq-cifar10 --model er --buffer_size 500 --load_best_args

• torch==1.7.0

• torchvision==0.9.0

• quadprog==0.1.7