GnomansLand
pendulum_NN
| GnomansLand | pendulum_NN | |
|---|---|---|
| 4 | 5 | |
| 16 | 9 | |
| - | - | |
| 0.0 | 0.0 | |
| about 1 year ago | almost 3 years ago | |
| Python | Python | |
| MIT License | MIT License |
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GnomansLand
- Do you think Gaming can teach us about Human Behavior?
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GnomansLand - The Reinforcement Learning Simulation Game built in Python
link: https://github.com/grahamwaters/GnomansLand
- Gaming Colab Opportunity! GnomansLand is a Reinforcement Learning Game using Genetic Algos
- Looking for collaborators on a Reinforcement Learning Game
pendulum_NN
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I want to make an ai that plays games. I was wondering which programming language to use and resources to start from. Thanks in advance!
I coded a game environment and applied a genetic algorithm from scratch in python, here. Happy to answer any questions.
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What are the go-to algorithms for robot balancing?
If you really want a fun over-engineered solution, check out mine
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Where should I go next after having learned python and doing some basic projects.
I used Pygame and Keras to simulate and train an inverting pendulum
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Basic questions about neural net structure
My approach to an inverted pendulum game was evolving nets with genetic algorithms. The repo is decently commented if you want to take a look.
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Can you hlep me decide if a neural network would be the way to go?
A while back I evolved neural nets to balance an inverted pendulum. Designing an effective reward function and learning environment seemed to be the most critical aspects.
What are some alternatives?
Masendor - Open source educational and historical battle action game, All helps accepted
stylegan2-projecting-images - Projecting images to latent space with StyleGAN2.
unicast_network_sim - Ludum Dare 53 game jam entry
gym - A toolkit for developing and comparing reinforcement learning algorithms.
RocketLander - A simple framework equipped with optimization algorithms, such as reinforcement learning, evolution strategies, genetic optimization, and simulated annealing, to enable an orbital rocket booster to land autonomously.
ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
PyGame-Learning-Environment - PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Agar.io_Q-Learning_AI - An experiment on the performance of homemade Q-learning AIs in Agar.io depending on their state representation and available actions
pytorch2keras - PyTorch to Keras model convertor
space-war-rl - Recreating Bill Seiler's 1985 version of Space War and training RL agents with Self-Play
simba-ps - Fast deterministic all-Python Lennard-Jones particle simulator that utilizes Numba for GPU-accelerated computation.