gym-hybrid
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Collection of OpenAI parametrized action-space environments.
Hi, I am trying to define interval in between continuous action space as self.action_space = Tuple((Discrete(2), Box(-10, 10, (2,)))), in this parameterized action space. could u please tell me how...
I mainly fix the environment.py to make it compatible with the latest version of gym (0.24.1), see more details in 'Files changed'
Hi! OpenAi gym remove the rendering.py for supporting pygame. "from gym.envs.classic_control import rendering" would fail in environment.py. https://github.com/openai/gym/pull/2599
Hello, I am kind of confused about the implementation of the accelerate method [at here](https://github.com/thomashirtz/gym-hybrid/blob/2c2eb3962d346ef6be2aed209020e47c1da285d4/gym_hybrid/agents.py#L59) According to the following formula from [stackexchange](https://math.stackexchange.com/a/1365938/849658) (as mentioned in L58), to calculate the magnitude...
Hello, this is a really cool project! Would you be up to making a pypi release so that people can install via `pip install gym-hybrid`? It pins the version which...
Hi, this is a nice project for hybrid action space, and I see you mentioned PDQN/HPPO in `README.md`. Do you have some experiment results about these algorithms in this environment....
Hi, I would like to ask that whether you are considering adding test cases on the hybrid env with respect to the reward value? For example, test whether the reward...
Change the action space to (Discrete(3), Box(1)) instead of (Discrete(3), Box(2)).