Alternatives and similar repositories for causal-entropic-forces

Users that are interested in causal-entropic-forces are comparing it to the libraries listed below

• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 6 years ago
• harvardnlp / lie-access-memory
  ☆18Updated 8 years ago
• mlech26l / ordinary_neural_circuits
  Neuronal Circuit Policies
  ☆40Updated 3 years ago
• jjoller / aixi
  Implementation of the Monte-Carlo CTW AIXI approximation as described by Joel Veness et al.
  ☆12Updated 8 years ago
• cosmoharrigan / neuroevolution
  Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.
  ☆71Updated 4 years ago
• tomekkorbak / active-inference
  A toy model of Friston's active inference in Tensorflow
  ☆41Updated 8 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 8 years ago
• google-deepmind / tvt
  ☆48Updated 6 years ago
• louiskirsch / vsml-neurips2021
  Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905
  ☆33Updated 3 years ago
• arayabrain / RecurrentAutoencoder
  Sample code for generative recurrent autoencoders.
  ☆26Updated 9 years ago
• sgkasselau / pyaixi
  ☆42Updated 3 years ago
• aslanides / aixijs
  AIXIjs - General Reinforcement Learning in the Browser
  ☆148Updated 5 years ago
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆191Updated 3 years ago
• plai-group / covid
  Modelling epidemiological dynamics and performing inference in these models
  ☆27Updated 4 years ago
• bgavran / DNC
  Implementation of the Differentiable Neural Computer in Tensorflow
  ☆119Updated 8 years ago
• agentmodels / agentmodels.org
  Modeling agents with probabilistic programs
  ☆67Updated 6 years ago
• mathemajician / AIQ
  Algorithmic Intelligence Quotient
  ☆39Updated 3 years ago
• willieneis / ProBO
  ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language
  ☆15Updated 6 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated 2 years ago
• ThomasMiconi / BOHP_RNN
  Backprop training of recurrent neural networks with Hebbian plastic connections
  ☆20Updated 4 years ago
• wassname / world-models-sonic-pytorch
  Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more w…
  ☆32Updated 7 years ago
• davidenitti / ML
  ☆11Updated 4 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆69Updated 11 years ago
• HumanCompatibleAI / rlsp
  Reward Learning by Simulating the Past
  ☆46Updated 6 years 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
• ganguli-lab / deepchaos
  Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"
  ☆74Updated 9 years ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 7 years ago
• csxeba / trickster
  Reinforcement learning in TensorFlow 2
  ☆22Updated 3 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆55Updated 5 years ago
• matthiasplappert / keras-rl-weights
  Trained models for keras-rl.
  ☆21Updated 9 years ago