Alternatives and similar repositories for Evolvability-ES

Users that are interested in Evolvability-ES are comparing it to the libraries listed below

• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 10 months ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 3 years ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 6 years ago
• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆16Updated 6 years ago
• illidanlab / rpg
  Ranking Policy Gradient
  ☆23Updated 5 years ago
• kachayev / gym-microrts-paper-sb3
  RL agent to play μRTS with Stable-Baselines3 and PyTorch
  ☆26Updated 3 years ago
• AnujMahajanOxf / VIREL
  Code for VIREL: A Variational Inference Framework for Reinforcement Learning
  ☆14Updated 5 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 3 years ago
• KMarino / hrl-ep3
  Code for our paper: Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
  ☆15Updated 6 years ago
• epignatelli / discovering-reinforcement-learning-algorithms
  A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…
  ☆21Updated 4 years ago
• R-McHenry / ParallelizedGoExplore
  A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post
  ☆46Updated 6 years ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 5 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
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 7 years ago
• Abhishaike / HyperProtoNetReproduce
  NeurIPS 2019 Paper Implementation
  ☆12Updated 2 years ago
• yangkevin2 / neurips2021-lap3
  ☆17Updated 3 years ago
• Maluuba / srw
  Dead-ends and Secure Exploration in Reinforcement Learning
  ☆11Updated 6 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆31Updated 4 years ago
• juliuskunze / cwvae-jax
  Clockwork VAEs in JAX/Flax
  ☆32Updated 3 years ago
• sungyubkim / amortized_svgd
  A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN
  ☆19Updated 6 years ago
• sferes2 / modular_QD
  **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms
  ☆22Updated 4 years ago
• facebookresearch / modeling_long_term_future
  Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
  ☆50Updated 5 years ago
• two2tee / WorldModelPlanning
  ☆16Updated 4 years ago
• ctallec / continuous-rl
  ☆21Updated 6 years ago
• TomZahavy / CB_AE_DQN
  Contextual Bandits Action Elimination DQN
  ☆21Updated 6 years ago
• bmazoure / DRIML
  Code for Deep Reinforcement and InfoMax Learning (Neurips 2020)
  ☆10Updated 4 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆28Updated 2 years ago