Alternatives and similar repositories for pbt

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

• angusfung / population-based-training
  Reproducing results from DeepMind's paper on Population Based Training of Neural Networks.
  ☆55Updated 6 years ago
• ml-jku / baselines-rudder
  RUDDER for ATARI games with delayed rewards in OpenAI Baselines package
  ☆267Updated 5 years ago
• mrahtz / easy-tf-log
  Easy TensorFlow logging for quick prototypes
  ☆110Updated 3 years ago
• brain-research / guided-evolutionary-strategies
  Guided Evolutionary Strategies
  ☆272Updated 2 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆153Updated 7 years ago
• han-cai / EAS
  Efficient Architecture Search by Network Transformation, in AAAI 2018
  ☆169Updated 6 years ago
• openai / EPG
  Code for the paper "Evolved Policy Gradients"
  ☆249Updated 6 years ago
• zuoxingdong / lagom
  lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
  ☆377Updated 2 years ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆97Updated 4 years ago
• jingweiz / pytorch-distributed
  Ape-X DQN & DDPG with pytorch & tensorboard
  ☆102Updated 6 years ago
• txizzle / drl
  Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning
  ☆140Updated 8 years ago
• Kaixhin / NoisyNet-A3C
  Noisy Networks for Exploration
  ☆186Updated 7 years ago
• Officium / RL-Experiments
  High-quality implementations of deep reinforcement learning algorithms for experiments
  ☆51Updated last year
• AI-ON / Multitask-and-Transfer-Learning
  Benchmark and build RL architectures that can do multitask and transfer learning.
  ☆143Updated 2 years ago
• MillionIntegrals / vel
  Velocity in deep-learning research
  ☆277Updated 2 years ago
• deepsense-ai / Distributed-BA3C
  ☆56Updated 2 years ago
• openai / baselines-results
  ☆117Updated 5 years ago
• wallarm / nascell-automl
  ☆253Updated 4 years ago
• Alfredvc / paac
  Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning
  ☆202Updated 8 years ago
• flyyufelix / C51-DDQN-Keras
  C51-DDQN in Keras
  ☆126Updated 7 years ago
• AdeelMufti / WorldModels
  Full World Models Implementation in Chainer
  ☆165Updated 7 years ago
• greydanus / baby-a3c
  A high-performance Atari A3C agent in 180 lines of PyTorch
  ☆171Updated 4 years ago
• kirthevasank / nasbot
  Neural Architecture Search with Bayesian Optimisation and Optimal Transport
  ☆135Updated 6 years ago
• activatedgeek / torchrl
  Highly Modular and Scalable Reinforcement Learning
  ☆117Updated 5 years ago
• DanielTakeshi / rl_algorithms
  I am implementing a lot of reinforcement learning and imitation learning algorithms since I'm sick of reading about them but not really u…
  ☆51Updated 5 years ago
• eladhoffer / bigBatch
  Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…
  ☆149Updated 8 years ago
• bkj / pbt
  Population Based Training, Figure 2
  ☆25Updated 7 years ago
• rgilman33 / baselines-A2C
  [DEPRECATED] Advantage Actor Critic model in PyTorch inspired by OpenAI baselines TensorFlow implementation
  ☆53Updated 5 years ago
• onlytailei / A3C-PyTorch
  PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
  ☆114Updated 8 years ago
• zuoxingdong / VIN_PyTorch_Visdom
  PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.
  ☆226Updated 8 years ago