Alternatives and similar repositories for manette

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

• jsikyoon / a3c-distributed_tensorflow
  Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning
  ☆29Updated 7 years ago
• flyyufelix / Direct-Future-Prediction-Keras
  Direct Future Prediction (DFP ) in Keras
  ☆109Updated 7 years ago
• arnomoonens / yarll
  Combining deep learning and reinforcement learning.
  ☆81Updated 3 years ago
• cosmoharrigan / neuroevolution
  Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.
  ☆71Updated 4 years ago
• deepsense-ai / Distributed-BA3C
  ☆56Updated 2 years ago
• tanmayshankar / RCNN_MDP
  Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
  ☆69Updated 7 years ago
• ondrejbiza / bandits
  Comparison of bandit algorithms from the Reinforcement Learning bible.
  ☆17Updated 7 years ago
• AdeelMufti / DifferentiableNeuralComputer
  Optimized Differentiable Neural Computer In Chainer
  ☆23Updated 7 years ago
• alok / rl_implementations
  Reinforcement learning algorithm implementations and ML experimentation workspace
  ☆43Updated 6 years ago
• jjkke88 / RL_toolbox
  reinfore learning tool box, contains trpo, a3c algorithm for continous action space
  ☆42Updated 7 years ago
• deeplearninc / relaax
  Reinforcement Learning framework to facilitate development and use of scalable RL algorithms and applications
  ☆61Updated 7 years ago
• shagunsodhani / memory-augmented-self-play
  PyTorch implementation of Memory Augmented Self-Play
  ☆52Updated 4 years ago
• Islandman93 / reinforcepy
  Collection of reinforcement learners implemented in python. Mainly including DQN and its variants
  ☆54Updated 8 years ago
• rarilurelo / pcl_keras
  reinforcement learning. policy gradient. PCL
  ☆37Updated 8 years ago
• edwin-de-jong / incremental-sequence-learning
  Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article
  ☆40Updated 8 years ago
• jsikyoon / pathnet
  Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
  ☆102Updated 8 years ago
• KokoMind / Recurrent-Environment-Simulators
  Deepmind Recurrent Environment Simulators paper implementation in tensorflow
  ☆74Updated 7 years ago
• dbobrenko / async-deeprl
  Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning
  ☆43Updated 7 years ago
• floringogianu / categorical-dqn
  A working implementation of the Categorical DQN (Distributional RL).
  ☆96Updated 7 years ago
• analog-rl / Duel_DDQN
  Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras
  ☆31Updated 9 years ago
• gd-zhang / ACKTR
  Actor Critic using Kronecker-Factored Trust Region
  ☆19Updated 7 years ago
• FrownyFace / DNC
  Differentiable neural computers
  ☆27Updated 8 years ago
• bzcheeseman / pytorch-rwa
  RWA in pytorch
  ☆14Updated 8 years ago
• awjuliani / RL-CC
  Web-based Reinforcement Learning Control Center
  ☆65Updated 9 years ago
• rgilman33 / baselines-A2C
  [DEPRECATED] Advantage Actor Critic model in PyTorch inspired by OpenAI baselines TensorFlow implementation
  ☆53Updated 5 years ago
• onlytailei / Value-Iteration-Networks-PyTorch
  PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)
  ☆80Updated 8 years ago
• mansimov / acktr
  ☆17Updated 8 years ago
• AdeelMufti / RL-RND
  Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation
  ☆31Updated 6 years ago
• neuralix / google_evolution
  ☆53Updated 8 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago