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Synchronized Curriculum Learning for RL Agents

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New features: * Parallel PZ wrapper for Lasertag * Selfplay Curriculum * PPO training script using selfplay on lasertag ```python class SelfPlay(Curriculum): def __init__(self, agent, device: str, store_agents_on_cpu: bool =...

The code I've written so far for the Minigrid Task Wrapper Code

DomainRandomization LearningProgressCurriculum other methods commented out due to failure.

(marl_cc) bash-4.4$ python -m tests.multiprocessing_smoke_tests /Multi-Agent-Syllabus/syllabus/examples/task_wrappers/__init__.py:18: UserWarning: Unable to import the following nle dependencies: cv2 warnings.warn(f"Unable to import the following nle dependencies: {e.name}") /Multi-Agent-Syllabus/syllabus/tests/utils.py:223: UserWarning: Unable to import nle. warnings.warn("Unable...

- update the seed function

These are initial codes for crafter environment. Let me know if you have any questions or suggestions. I am working on now writing the evaluation function. I will wrap up...

Here's the current state of my work on `multi_car_racing` and Domain Randomization: ## Installation: * Running the script still requires Docker for now, I also copied the `multi_car_racing` repository for...