Control What You Can: Intrinsically Motivated Task-Planning Agent

Usage

To run the toy environment, run

python train.py --experiment experiments/boxes/sac_cwyc.json

To run the the robotics environments, run

python train.py --experiment experiments/pickandplaceextended/her_cwyc.json

python3
joblib
matplotlib
tensorboardX
scipy
tensorflow
numpy
gym
mujoco_py

Name		Name	Last commit message	Last commit date
Latest commit History 33 Commits
docs		docs
envs/continuous		envs/continuous
experiments		experiments
forward_model		forward_model
gnet		gnet
policies		policies
rollout		rollout
task		task
task_planner		task_planner
task_selector		task_selector
.gitignore		.gitignore
README.md		README.md
config.py		config.py
interruptHandler.py		interruptHandler.py
normalizer.py		normalizer.py
parallel_module.py		parallel_module.py
parallel_train_manager.py		parallel_train_manager.py
simple_buffer.py		simple_buffer.py
train.py		train.py
utils.py		utils.py