Alternatives and similar repositories for art-python:

Users that are interested in art-python are comparing it to the libraries listed below

• mtrazzi / two-step-task
  Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforc…
  ☆57Updated 5 years ago
• mlech26l / ordinary_neural_circuits
  Neuronal Circuit Policies
  ☆40Updated 2 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆76Updated 5 years ago
• awjuliani / successor_examples
  Tutorials on learning and using successor representations.
  ☆50Updated 5 years ago
• manantomar / DSR
  Deep Successor Representation
  ☆17Updated 6 years ago
• supratikp / HOOF
  Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583
  ☆17Updated 5 years ago
• cosmoharrigan / neuroevolution
  Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.
  ☆70Updated 3 years ago
• StefanoFioravanzo / MAP-Elites
  Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
  ☆50Updated 4 years ago
• uber-research / Evolvability-ES
  ☆14Updated 5 years ago
• jjoller / aixi
  Implementation of the Monte-Carlo CTW AIXI approximation as described by Joel Veness et al.
  ☆12Updated 8 years ago
• toybox-rs / Toybox
  The Machine Learning Toybox for testing the behavior of autonomous agents.
  ☆27Updated 2 years ago
• dyth / causal-entropic-forces
  An attempt to reimplement the 2013 paper by Wissner-Gross & Freer
  ☆10Updated 2 months ago
• flowersteam / Unsupervised_Goal_Space_Learning
  Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"
  ☆21Updated 7 years ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 3 years ago
• drasmuss / nhrlmodel
  Neural model of hierarchical reinforcement learning
  ☆16Updated 7 years ago
• NiMlr / High-Dim-ES-RL
  Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
  ☆28Updated 2 years ago
• quality-diversity / quality-diversity.github.io
  Website for Quality-Diversity optimisation algorithms
  ☆43Updated 5 months ago
• tomekkorbak / active-inference
  A toy model of Friston's active inference in Tensorflow
  ☆40Updated 7 years ago
• mbchang / decentralized-rl
  Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)
  ☆44Updated 2 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 4 years ago
• sebastianrisi / ga-world-models
  ☆20Updated 5 years ago
• nathangrinsztajn / Box-World
  Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"
  ☆45Updated last year
• enajx / HebbianMetaLearning
  Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
  ☆133Updated 3 years ago
• madvn / CTRNN
  Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)
  ☆41Updated 3 years ago
• TheMTank / GridUniverse
  Old and new Reinforcement Learning algorithms run on the GridUniverse ecosystem
  ☆22Updated 6 years ago
• ukuleleplayer / pureples
  Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.
  ☆114Updated last year
• vicariousinc / schema-games
  General Game Playing with Schema Networks
  ☆41Updated 2 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆55Updated 4 years ago
• btaba / yarlp
  yet another reinforcement learning package
  ☆12Updated 2 years ago
• ThomasMiconi / BiologicallyPlausibleLearningRNN
  Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017
  ☆35Updated 5 years ago