MattKleinsmith / pbt

Related projects: ⓘ

• angusfung / population-based-training
  Reproducing results from DeepMind's paper on Population Based Training of Neural Networks.
  ☆56Updated 6 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆153Updated 6 years ago
• ml-jku / baselines-rudder
  RUDDER for ATARI games with delayed rewards in OpenAI Baselines package
  ☆265Updated 4 years ago
• kirthevasank / nasbot
  Neural Architecture Search with Bayesian Optimisation and Optimal Transport
  ☆132Updated 5 years ago
• brain-research / guided-evolutionary-strategies
  Guided Evolutionary Strategies
  ☆264Updated last year
• han-cai / EAS
  Efficient Architecture Search by Network Transformation, in AAAI 2018
  ☆170Updated 5 years ago
• mrahtz / easy-tf-log
  Easy TensorFlow logging for quick prototypes
  ☆110Updated 2 years ago
• rgilman33 / baselines-A2C
  [DEPRECATED] Advantage Actor Critic model in PyTorch inspired by OpenAI baselines TensorFlow implementation
  ☆53Updated 4 years ago
• lucfra / FAR-HO
  Gradient based hyperparameter optimization & meta-learning package for TensorFlow
  ☆186Updated 4 years ago
• uber-research / metropolis-hastings-gans
  ☆114Updated 11 months ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆93Updated 4 years ago
• flyyufelix / C51-DDQN-Keras
  C51-DDQN in Keras
  ☆125Updated 6 years ago
• bowenbaker / metaqnn
  ☆137Updated 7 years ago
• yaroslavvb / kfac_pytorch
  ☆131Updated 6 years ago
• mjacar / pytorch-trpo
  ☆130Updated this week
• zuoxingdong / VIN_PyTorch_Visdom
  PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.
  ☆225Updated 7 years ago
• activatedgeek / torchrl
  Highly Modular and Scalable Reinforcement Learning
  ☆113Updated 4 years ago
• automl / fanova
  Functional ANOVA
  ☆122Updated 5 months ago
• kevinzakka / NALU-pytorch
  ☆186Updated this week
• kimhc6028 / pathnet-pytorch
  PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
  ☆80Updated 6 years ago
• zuoxingdong / lagom
  lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
  ☆373Updated last year
• AI-ON / Multitask-and-Transfer-Learning
  Benchmark and build RL architectures that can do multitask and transfer learning.
  ☆144Updated last year
• MillionIntegrals / vel
  Velocity in deep-learning research
  ☆276Updated last year
• negrinho / deep_architect
  A general, modular, and programmable architecture search framework
  ☆122Updated last year
• Kaixhin / NoisyNet-A3C
  Noisy Networks for Exploration
  ☆184Updated 6 years ago
• jingweiz / pytorch-distributed
  Ape-X DQN & DDPG with pytorch & tensorboard
  ☆101Updated 5 years ago
• openai / EPG
  Code for the paper "Evolved Policy Gradients"
  ☆251Updated 5 years ago
• openai / baselines-results
  ☆117Updated 4 years ago
• linnanwang / AlphaX-NASBench101
  Neural Architecture Search using Deep Neural Network and Monte Carlo Tree Search
  ☆168Updated 3 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…
  ☆148Updated 7 years ago