google-research / evoflow

Related projects ⓘ

Alternatives and complementary repositories for evoflow

• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆39Updated 2 months ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 2 years ago
• rdturnermtl / bbo_challenge_starter_kit
  Starter kit for the black box optimization challenge at Neurips 2020
  ☆113Updated 4 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 3 years ago
• ShangtongZhang / DistributedES
  Distributed implementation of popular evolutionary methods
  ☆64Updated 6 years ago
• ctallec / continuous-rl
  ☆19Updated 5 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated last year
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆50Updated 5 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆78Updated last year
• facebookresearch / rela
  Reinforcement Learning Assembly
  ☆92Updated 3 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 5 years ago
• HumanCompatibleAI / rlsp
  Reward Learning by Simulating the Past
  ☆43Updated 5 years ago
• pronobis / libspn-keras
  Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
  ☆47Updated 3 years ago
• Akella17 / Deep-Bayesian-Quadrature-Policy-Optimization
  Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
  ☆16Updated 3 years ago
• SuReLI / dyna-gym
  This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.
  ☆32Updated 5 years ago
• alexis-jacq / LOLA_DiCE
  Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
  ☆90Updated 6 years ago
• opium-sh / prl
  Open-source library for a reinforcement learning research.
  ☆54Updated last year
• facebookresearch / modeling_long_term_future
  Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
  ☆50Updated 5 years ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• uber-research / Synthetic-Petri-Dish
  ☆42Updated 4 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…
  ☆20Updated 3 years ago
• KMarino / hrl-ep3
  Code for our paper: Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
  ☆15Updated 5 years ago
• uber-research / GTN
  ☆76Updated 4 years ago
• mtrazzi / meta_rl
  The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.
  ☆37Updated 5 years ago
• pomonam / NoisyNaturalGradient
  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
  ☆60Updated 5 years ago
• ChangYong-Oh / HyperSphere
  ☆16Updated 5 years ago
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆56Updated 2 years ago
• mlech26l / ordinary_neural_circuits
  Neuronal Circuit Policies
  ☆40Updated 2 years ago
• mbchang / decentralized-rl
  Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)
  ☆44Updated last year
• 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