Alternatives and similar repositories for nes-torch:

Users that are interested in nes-torch are comparing it to the libraries listed below

• goktug97 / PEPG-ES
  Python Implementation of Parameter-exploring Policy Gradients Evolution Strategy
  ☆16Updated 5 years ago
• kachayev / gym-microrts-paper-sb3
  RL agent to play μRTS with Stable-Baselines3 and PyTorch
  ☆26Updated 3 years ago
• NiMlr / High-Dim-ES-RL
  Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
  ☆28Updated 2 years ago
• sebastianrisi / ga-world-models
  ☆20Updated 5 years ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 3 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 9 months ago
• AnujMahajanOxf / VIREL
  Code for VIREL: A Variational Inference Framework for Reinforcement Learning
  ☆14Updated 5 years ago
• bmazoure / DRIML
  Code for Deep Reinforcement and InfoMax Learning (Neurips 2020)
  ☆10Updated 4 years ago
• Abhishaike / HyperProtoNetReproduce
  NeurIPS 2019 Paper Implementation
  ☆12Updated 2 years ago
• ElisevanderPol / PRAE
  Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
  ☆30Updated 4 years ago
• Akella17 / Deep-Bayesian-Quadrature-Policy-Optimization
  Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
  ☆16Updated 4 years ago
• uber-research / Evolvability-ES
  ☆14Updated 5 years ago
• jparkerholder / ASEBO
  Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …
  ☆16Updated 4 years ago
• ghliu / mean-field-fcdnn
  ☆28Updated 5 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆55Updated 4 years ago
• yobibyte / pgn
  Graph Nets in pytorch
  ☆27Updated 2 years ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 6 years ago
• JorgeCeja / evolution-strategies
  🦾Distributed Natural Evolution Strategies Build with PyTorch and Ray
  ☆17Updated 6 years ago
• distillpub / post--understanding-rl-vision
  Understanding RL vision Distill article
  ☆23Updated 2 years ago
• supratikp / HOOF
  Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583
  ☆19Updated 5 years ago
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆39Updated 7 months ago
• tsyet12 / EvoOpt
  Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.
  ☆13Updated 2 years ago
• martinseilair / learningoptimalcontrol
  Great resources for learning optimal control
  ☆17Updated 5 years ago
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆56Updated 2 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆50Updated 6 years ago
• cambridge-mlg / expressiveness-approx-bnns
  Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"
  ☆13Updated 3 years ago
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 4 years ago
• vtopt / qnstop
  Quasi-Newton Algorithm for Stochastic Optimization
  ☆10Updated 2 years ago
• stelzner / Visual-Interaction-Networks
  A PyTorch implementation of visual interaction networks
  ☆12Updated 5 years ago
• google-deepmind / zipfian_environments
  ☆28Updated 2 years ago