## NOTE: This is a fork of the original repo: [https://github.com/awarelab/continual_world](https://github.com/awarelab/continual_world)
All credit goes to the original authors.

The purpose of this fork is to adapt the algorithms from this repo so that they used as "Methods" in
Sequoia.


# Continual World: A Robotic Benchmark For Continual Reinforcement Learning

See also [project website](https://sites.google.com/view/continualworld/home), [paper](https://arxiv.org/abs/2105.10919).

Consider taking part in our **[CW challenge](https://sites.google.com/view/continualworld/cw-challenge?authuser=0)!**

For quick setup with docker and pycharm see README.Docker.md

## Examples

### Single task

`examples/single_task_example.sh`

### Continual learning

`examples/cl_example.sh`

### Multi-task learning

`examples/mt_example.sh`
