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Evaluating long-term memory of reinforcement learning algorithms

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Hi I ran a fresh conda env (python 3.9.7), installed `pip install memory-maze` and `pip install gym pygame pillow imageio`. When I run `python gui/run_gui.py` I get the following error:...

I was wondering if you could post the code of how you generated the data, as I'd like to do the same with some modifications. With my naive data generation...

Hi, do you provide an **optimal** planner to generate actions to reach the current target? I searched the code and found BFS function `def breadth_first_search()` in `memory_maze/oracle.py` However, it was...

Hey, I'm looking to modify this environment slightly. I'm looking for an environment where the maze does change after every call to the reset (it is fixed based on the...

There are pesky `WARNING:absl:Cannot set velocity on Entity with no free joint.` warnings on environment initialization, coming from somewhere inside MuJoCo. They don't mean anything bad, but would be nice...

Hey, I am trying to use this environment with Sample Factory. My current setup is 12 CPUs, 80GB Memory, 1XA100 GPU. I'm training using Async PPO with a total of...

Hi, Great environment. Just wondering, is there a PPO baseline available for this environment?

The ability to set [random seed](https://github.com/jurgisp/memory-maze/blob/main/memory_maze/tasks.py#L66) was recently implemented in dm_env. It needs to be added to gym wrapper too.

It would be nice to have a version of the environment with the raw continuous action space instead of the discretized one.