Code will receive a major refactor before it becomes available online.

In order to run/visualize learned models:
1.  Install conda environment (in the main directory): "conda env create -f environment.yml" 
    AntMaze additionally requires Mujoco
2.  To run adaptation of learnt AntMaze model run: "../scripts/ant_maze/meta_eval.sh" from famp directory
    It is possible to adjust the task of the agent by changing the "3" in envs=(3) to a different number.
    To run a model from different seed change seeds=(42) to 142 or 242
3. Similarly, use "../scripts/ant_maze/meta_eval.sh" to run learned Taxi agents
4. Single-task baseline in Taxi can be run by "../scripts/ant_maze/single_eval.sh"
5. Other pretraining scripts are set to run on many CPUs. To adjust it change the value of np in the script to the amount of CPUs that should be used (MPI required).
6. To turn off rendering comment out line 34 in famp/sampling/sampling.py
