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semi-ergodic's Projects

acme icon acme

A library of reinforcement learning components and agents

aug-net icon aug-net

A small tutorial on how to calculate the Jacobian of the outputs wrt inputs

cart-pole-deep-rl-actor-critic icon cart-pole-deep-rl-actor-critic

Solving the inverted pendulum problem with deep-RL actor-critic (with shared network between the value-evaluation and the policy, epsilon-greedy policy). Some implementation issues concerning the stability are discussed.

cart-pole-deep-rl-ddqn icon cart-pole-deep-rl-ddqn

Solving the inverted pendulum problem with deep-RL double DQN. Some implementation issues and tests are discussed.

epydemy icon epydemy

A city with its citizens and their social life are simulated where a contagious disease is spreading. The results are used to feed a neural network for predicting the probability of catching the disease for each individual

epydemy-ai icon epydemy-ai

Using the predictions of the agent-based simulation code epydemy, we train a deep neural-network to help identifying the individual susceptibile to catching the virus (the high-risk group). This deep neural-network enables us to find the quarantine-policy most effectively.

maglorgascpp icon maglorgascpp

A code for magnetic Lorentz gas with obstacles which are made of polygon.

moo_as_soo icon moo_as_soo

addressing multi-objective optimization as a single objective optimization with RL

multi-agent-trains-env icon multi-agent-trains-env

An environment (in openAI gym sense of the word) with multiple agents as a test bed for MA-RL algorithms

munching-recipes icon munching-recipes

web scraping www.allrecipes.com and returning info in form of Python dictionaries

ray icon ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

recruiter-problem icon recruiter-problem

The secretary problem is a problem that demonstrates a scenario involving optimal stopping theory.

rllib-with-dict-state icon rllib-with-dict-state

A minimal example demonstrating how to use RLlib with states which are presented as dictionaries

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