Alternatives and similar repositories for nes-torch:

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

• ghliu / mean-field-fcdnn
  ☆28Updated 5 years ago
• goktug97 / PEPG-ES
  Python Implementation of Parameter-exploring Policy Gradients Evolution Strategy
  ☆16Updated 4 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 6 months ago
• gengala / egnca
  Official implementation of E(n)-equivariant Graph Neural Cellular Automata
  ☆25Updated 9 months ago
• facebookresearch / modeling_long_term_future
  Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
  ☆50Updated 5 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆55Updated 4 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
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 2 years ago
• sebastianrisi / ga-world-models
  ☆20Updated 5 years ago
• aormorningstar / GenerativeNeuralNets
  Implementation of restricted Boltzmann machine, deep Boltzmann machine, deep belief network, and deep restricted Boltzmann network models…
  ☆13Updated 4 years ago
• jonasrothfuss / meta_learning_pacoh
  Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds
  ☆25Updated last year
• ElisevanderPol / PRAE
  Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
  ☆29Updated 4 years ago
• KMarino / hrl-ep3
  Code for our paper: Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
  ☆15Updated 5 years ago
• wcaarls / grl
  Generic Reinforcement Learning Library
  ☆9Updated last month
• NiMlr / High-Dim-ES-RL
  Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
  ☆28Updated 2 years ago
• Caselles / NeurIPS19-SBDRL
  Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…
  ☆35Updated 5 years ago
• distillpub / post--understanding-rl-vision
  Understanding RL vision Distill article
  ☆23Updated last year
• bartwojcik / lossgrad
  Implementation of the LOSSGRAD optimization algorithm
  ☆15Updated 5 years ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 6 years ago
• sferes2 / modular_QD
  **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms
  ☆22Updated 4 years ago
• sungyubkim / amortized_svgd
  A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN
  ☆18Updated 6 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 3 years ago
• yobibyte / pgn
  Graph Nets in pytorch
  ☆27Updated 2 years ago
• kachayev / gym-microrts-paper-sb3
  RL agent to play μRTS with Stable-Baselines3 and PyTorch
  ☆26Updated 3 years ago
• BerenMillidge / NeuralKalmanFiltering
  Code for the simulations in the neural Kalman filtering paper
  ☆16Updated 3 years ago
• AnujMahajanOxf / VIREL
  Code for VIREL: A Variational Inference Framework for Reinforcement Learning
  ☆14Updated 5 years ago
• hushell / deep-symmetry
  ☆21Updated 5 years ago
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆39Updated 4 months ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆50Updated 6 years ago
• Abhishaike / HyperProtoNetReproduce
  NeurIPS 2019 Paper Implementation
  ☆12Updated 2 years ago