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""" | |
Quick and dirty replication of | |
"Winning Gold at IMO 2025 with a Model-Agnostic Verification-and-Refinement Pipeline" (https://arxiv.org/abs/2507.15855) | |
using LangGraph. | |
Export GOOGLE_API_KEY to run. | |
Change the model, question and constants directly in the code (no CLI). | |
""" | |
import asyncio |
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""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
import numpy as np | |
import cPickle as pickle | |
import gym | |
# hyperparameters | |
H = 200 # number of hidden layer neurons | |
batch_size = 10 # every how many episodes to do a param update? | |
learning_rate = 1e-4 | |
gamma = 0.99 # discount factor for reward |
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# pylint: disable=C0111,too-many-arguments,too-many-instance-attributes,too-many-locals,redefined-outer-name,fixme | |
# pylint: disable=superfluous-parens, no-member, invalid-name | |
import sys | |
sys.path.insert(0, "../../python") | |
import mxnet as mx | |
import numpy as np | |
import cv2, random | |
from io import BytesIO | |
from captcha.image import ImageCaptcha |
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#!/usr/bin/env python | |
"""Simple HTTP Server With Upload. | |
This module builds on BaseHTTPServer by implementing the standard GET | |
and HEAD requests in a fairly straightforward manner. | |
""" |