v0.4.0

v0.4.0 Release Notes

In this release we have:

• made the whole framework single-entryed, i.e. now one can run an experiment just with python sheeprl.py exp=... env=..., removing the need to prepend lightning run model ... sheeprl.py everytime. The Fabric-related configs can be found and changed under the sheeprl/configs/fabric/ folder. (#97)
• uniformed the make_env vs make_dict_env method, so there is no more distinction between the two. We now assume that the environment has an observation space that is a gymnasium.spaces.Dict, if it is not an exception is raised. (#96)
• implemented the resume_from_checkpoint for every algorithm. (#95)
• added the Crafter environment. (#103)
• Fixed some environments, in particula Diambra and DMC
  • Diambra: renamed the wrapper implementation file; the done flag now checks if info["env_done"] flag is True. (#98)
  • DMC: removed a env.frame_skip=0 for mujoco envs and removed the action repeat from the DMC wrapper. (#99)