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publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/maximecb/gym-minigrid}}, } This environment has been built as part of work done at theMILA. Installation Clone this repository and install the dependencies withpip3: git clone https://github.com/...
pip install xminigrid # or, from github directly pip install "xminigrid @ git+https://github.com/corl-team/xland-minigrid.git" Alternatively, if you want to install the latest development version from the GitHub and run provided algorithms or scripts, install the source as follows: ...
Minimal 2kb zero dependency cascading grid layout. Contribute to JavaStudent/minigrid development by creating an account on GitHub.
Reinforcement Learning Project - Minigrid Environments using PPO This repository contains work completed for the course COMP552 Reinforcement Learning at Rice University. The goal of this project is to explore and implement various reinforcement learning algorithms in custom environments to solve open-ended...
Minimal 2kb zero dependency cascading grid layout 2k GitHub MITlicensed http://alves.im/minigrid Version 3.1.1 Asset Type All Help support cdnjs You cancontribute onGitHubto help make cdnjs sustainable! Or, donate $5 to cdnjs viaOpen CollectiveorPatreon....
Steps to reproduce: import xminigrid Error: ValueError: mutable default <class 'jaxlib.xla_extension.ArrayImpl'> for field position is not allowed: use default_factory Env: xminigrid = "^0.0.2” Python ver: 3.11.4
import os import time envs = ['unlockpickupar-v0'] config_name = 'unlockpickupar' alg = 'PPO' methods = ['Nill'] n_repeats = 1 abs_thresh = True total_timesteps = 5000000 log_interval = 10 for trials in range(n_repeats): for env in envs: for method in methods: cmd_line...
import argparse import random from itertools import product import jax.numpy as jnp from tqdm.auto import tqdm, trange from xminigrid.benchmarks import save_bz2_pickle from xminigrid.core.constants import Colors, Tiles from xminigrid.core.goals import ( AgentHoldGoal, AgentNearDownGoal, AgentNear...