Alternatives and similar repositories for backpropamine

Users that are interested in backpropamine are comparing it to the libraries listed below

• sebastianrisi / ga-world-models
  ☆20Updated 5 years ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆61Updated last year
• pathak22 / modular-assemblies
  [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"
  ☆116Updated 5 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated last year
• google-deepmind / dm_hard_eight
  ☆85Updated 4 years ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 3 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated last year
• zuoxingdong / dm2gym
  Convert DeepMind Control Suite to OpenAI gym environments.
  ☆86Updated 5 years ago
• enajx / HebbianMetaLearning
  Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
  ☆137Updated 3 years ago
• bstadie / krazyworld
  krazy grid world
  ☆25Updated 5 years ago
• eaplatanios / jelly-bean-world
  A framework for experimenting with never-ending learning
  ☆77Updated 7 months ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆87Updated 6 years ago
• BY571 / Upside-Down-Reinforcement-Learning
  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
  ☆77Updated 4 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 3 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• awjuliani / successor_examples
  Tutorials on learning and using successor representations.
  ☆52Updated 5 years ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆59Updated 5 years ago
• pathak22 / exploration-by-disagreement
  [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
  ☆124Updated 5 years ago
• simondlevy / neat-gym
  Neuro-evolution for OpenAI Gym environments
  ☆56Updated 4 years ago
• tesslerc / TD3-JAX
  A JAX Implementation of the Twin Delayed DDPG Algorithm
  ☆34Updated 5 years ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆93Updated 4 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆55Updated 4 years ago
• backpropper / s2p
  Code repository for On the interaction between supervision and self-play in emergent communication (ICLR 2020)
  ☆16Updated 5 years ago
• hardmaru / astool
  Augmented environments with RL
  ☆104Updated 6 years ago
• attentionagent / attentionagent.github.io
  Web version of “Neuroevolution of Self-Interpretable Agents” (https://arxiv.org/abs/2003.08165)
  ☆21Updated 3 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆31Updated 4 years ago
• ThomasMiconi / LearningToLearnBOHP
  Backpropagation training of neural networks with Hebbian plastic connections
  ☆31Updated 3 years ago
• makrout / Deep-Learning-without-Weight-Transport
  Deep Learning without Weight Transport
  ☆35Updated 5 years ago
• kkhetarpal / ioc
  Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020
  ☆25Updated 4 years ago