Alternatives and similar repositories for NMT-RDPG

Users that are interested in NMT-RDPG are comparing it to the libraries listed below

• FrownyFace / DNC
  Differentiable neural computers
  ☆27Updated 9 years ago
• ikostrikov / pytorch-rl
  ☆58Updated 7 years ago
• facebookresearch / translagent
  Code for Emergent Translation in Multi-Agent Communication
  ☆81Updated 7 years ago
• floringogianu / categorical-dqn
  A working implementation of the Categorical DQN (Distributional RL).
  ☆96Updated 7 years ago
• jsikyoon / a3c-distributed_tensorflow
  Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning
  ☆29Updated 8 years ago
• Kiwoo / distributional_perspective_on_RL
  Implementation of A Distributional Perspective on Reinforcement Learning
  ☆35Updated 8 years ago
• eparisotto / ActorMimic
  Train an RL agent to play multiple Atari games at once
  ☆69Updated 9 years ago
• runopti / Learning-To-Learn
  TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"
  ☆84Updated 8 years ago
• jacobandreas / neuralese
  Translating neuralese
  ☆46Updated 8 years ago
• rarilurelo / pcl_keras
  reinforcement learning. policy gradient. PCL
  ☆37Updated 8 years ago
• jannerm / spatial-reasoning
  Code for the paper "Representation Learning for Grounded Spatial Reasoning"
  ☆52Updated 5 years ago
• onlytailei / Value-Iteration-Networks-PyTorch
  PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)
  ☆80Updated 8 years ago
• Islandman93 / reinforcepy
  Collection of reinforcement learners implemented in python. Mainly including DQN and its variants
  ☆54Updated 8 years ago
• geek-ai / 1m-agents
  A platform of grid world that supports up to 1 million reinforcement-learning agents.
  ☆70Updated 8 years ago
• synpon / prog_nn
  A Quick and Dirty Progressive Neural Network written in TensorFlow.
  ☆51Updated 7 years ago
• go2sea / C51DQN
  A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)
  ☆57Updated 8 years ago
• ShibiHe / Q-Optimality-Tightening
  This is my implementation of the Optimality Tightening
  ☆37Updated 8 years ago
• sudeepraja / Model-Free-Episodic-Control
  Implimentation of the Model Free Episodic Control paper by Deep Mind : http://arxiv.org/abs/1606.04460
  ☆55Updated 9 years ago
• ypxie / pytorch-NeuCom
  Pytorch implementation of DeepMind's differentiable neural computer paper.
  ☆93Updated 8 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 8 years ago
• kimhc6028 / pytorch-noreward-rl
  pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
  ☆80Updated 7 years ago
• cilvrRG / RL
  Reading Group on Reinforcement Learning topics
  ☆56Updated 9 years ago
• zuoxingdong / VIN_TensorFlow
  TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular
  ☆52Updated 8 years ago
• Nat-D / FeatureControlHRL
  Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆81Updated 8 years ago
• AI-ON / Multitask-and-Transfer-Learning
  Benchmark and build RL architectures that can do multitask and transfer learning.
  ☆144Updated 3 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆44Updated 7 years ago
• Kaixhin / Dist-A3C
  Distributed A3C
  ☆34Updated 8 years ago
• tilarids / reinforcement_learning_playground
  Playground for reinforcement learning algorithms implemented in TensorFlow
  ☆16Updated 9 years ago
• jsuarez5341 / Efficient-Dynamic-Batching
  Solves AI, transcends reality, infiltrates your mind
  ☆39Updated 8 years ago
• bheinzerling / ran
  A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)
  ☆29Updated 8 years ago