Alternatives and similar repositories for natural-gradient-deep-q-learning

Users that are interested in natural-gradient-deep-q-learning are comparing it to the libraries listed below

• siemens / policy_search_bb-alpha
  ☆69Updated 7 years ago
• floringogianu / categorical-dqn
  A working implementation of the Categorical DQN (Distributional RL).
  ☆96Updated 7 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆67Updated 7 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
• paintception / Deep-Quality-Value-DQV-Learning-
  DQV-Learning: a novel faster synchronous Deep Reinforcement Learning algorithm
  ☆25Updated 2 years ago
• kvfrans / parallel-trpo
  A parallel version of Trust Region Policy Optimization
  ☆65Updated 8 years ago
• go2sea / C51DQN
  A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)
  ☆57Updated 8 years ago
• JohnLangford / RL_acid
  Some hard problems for reinforcement learning.
  ☆31Updated 6 years ago
• kimhc6028 / pytorch-noreward-rl
  pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
  ☆80Updated 6 years ago
• arnomoonens / yarll
  Combining deep learning and reinforcement learning.
  ☆80Updated 3 years ago
• rarilurelo / pcl_keras
  reinforcement learning. policy gradient. PCL
  ☆37Updated 8 years ago
• geek-ai / 1m-agents
  A platform of grid world that supports up to 1 million reinforcement-learning agents.
  ☆69Updated 7 years ago
• AdamStelmaszczyk / learning2run
  Our NIPS 2017: Learning to Run source code
  ☆55Updated 2 years ago
• deeplearninc / relaax
  Reinforcement Learning framework to facilitate development and use of scalable RL algorithms and applications
  ☆61Updated 7 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆153Updated 7 years ago
• flowersteam / geppg
  ☆35Updated 7 years ago
• flyyufelix / Direct-Future-Prediction-Keras
  Direct Future Prediction (DFP ) in Keras
  ☆109Updated 7 years ago
• georgesung / deep_rl_acrobot
  TensorFlow A2C to solve Acrobot, with synchronized parallel environments
  ☆35Updated 7 years ago
• Nat-D / FeatureControlHRL
  Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆80Updated 7 years ago
• deepsense-ai / Distributed-BA3C
  ☆56Updated 2 years ago
• openai / baselines-results
  ☆117Updated 5 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 6 years ago
• ShibiHe / Q-Optimality-Tightening
  This is my implementation of the Optimality Tightening
  ☆37Updated 8 years ago
• rll / deeprlhw2
  ☆24Updated 9 years ago
• isl-org / DirectFuturePrediction
  Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017
  ☆151Updated 11 months ago
• chrodan / tdlearn
  some common TD Learning algorithms
  ☆66Updated 5 years ago
• shagunsodhani / memory-augmented-self-play
  PyTorch implementation of Memory Augmented Self-Play
  ☆52Updated 4 years ago
• Scitator / Run-Skeleton-Run
  Reason8.ai PyTorch solution for NIPS RL 2017 challenge
  ☆84Updated 5 years ago
• Ardavans / DSR
  ☆96Updated 9 years ago
• ericjang / e2c
  TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆64Updated 9 years ago