Alternatives and similar repositories for async_rl

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

• tambetm / gymexperiments
  ☆28Updated 6 years ago
• ShibiHe / Model-Free-Episodic-Control
  This is the implementation of paper Model Free Episodic Control
  ☆36Updated 6 years ago
• njustesen / a2c_gvgai
  A2C for GVG-AI
  ☆22Updated 7 years ago
• wulfebw / hierarchical_rl
  hierarchical deep reinforcement learning algorithms
  ☆42Updated 7 years ago
• ShibiHe / Q-Optimality-Tightening
  This is my implementation of the Optimality Tightening
  ☆37Updated 8 years ago
• rarilurelo / pcl_keras
  reinforcement learning. policy gradient. PCL
  ☆37Updated 8 years ago
• siemanko / a3c
  Asynchronous Advantage Actor Critic
  ☆20Updated 9 years ago
• ilyasu123 / trpo
  ☆19Updated 9 years ago
• aravindr93 / robustRL
  Robust policy search algorithms which train on model ensembles
  ☆30Updated 9 years ago
• miyosuda / episodic_control
  Model-Free Episodic Control
  ☆14Updated 8 years ago
• jsikyoon / a3c-distributed_tensorflow
  Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning
  ☆29Updated 7 years ago
• eparisotto / ActorMimic
  Train an RL agent to play multiple Atari games at once
  ☆69Updated 9 years ago
• siemanko / guided-policy-search
  Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).
  ☆44Updated 11 years ago
• jjkke88 / RL_toolbox
  reinfore learning tool box, contains trpo, a3c algorithm for continous action space
  ☆42Updated 7 years ago
• iassael / torch-e2c
  Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆43Updated 9 years ago
• iassael / torch-policy-gradient
  Deterministic Policy Gradient using torch7
  ☆43Updated 9 years ago
• flowersteam / geppg
  ☆35Updated 7 years ago
• domluna / deep-rl-gym-tutorials
  Some code for tutorials following https://gym.openai.com/docs/rl
  ☆14Updated 9 years ago
• geek-ai / 1m-agents
  A platform of grid world that supports up to 1 million reinforcement-learning agents.
  ☆70Updated 8 years ago
• Zeta36 / Asynchronous-Methods-for-Deep-Reinforcement-Learning
  Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain …
  ☆84Updated 9 years ago
• cosmoharrigan / rc-nfq
  RC-NFQ: Regularized Convolutional Neural Fitted Q Iteration. A batch algorithm for deep reinforcement learning. Incorporates dropout regu…
  ☆12Updated 4 years ago
• Islandman93 / reinforcepy
  Collection of reinforcement learners implemented in python. Mainly including DQN and its variants
  ☆54Updated 8 years ago
• arnomoonens / yarll
  Combining deep learning and reinforcement learning.
  ☆81Updated 4 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
• 5vision / DARQN
  Deep Attention Recurrent Q-Network
  ☆115Updated 10 years ago
• PFCM / neural-episodic-control
  ☆30Updated 8 years ago
• siemanko / deeprl
  Universal library for deep reinforcement learning.
  ☆38Updated 9 years ago
• Nat-D / FeatureControlHRL
  Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆81Updated 8 years ago
• Ardavans / DSR
  ☆98Updated 9 years ago
• matpalm / cartpoleplusplus
  3d cartpole gym env using bullet physics trained from pixels with tensorflow LRPG, DDPG & NAF
  ☆58Updated 8 years ago