Alternatives and similar repositories for ViZDoomAgents

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

• avdmitry / rl_3d
  Reinforcement learning in 3D.
  ☆21Updated 8 years ago
• fabiopardo / qmap
  Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
  ☆40Updated 5 years ago
• akolishchak / doom-net-pytorch
  Reinforcement learning models in ViZDoom environment
  ☆132Updated 3 years ago
• Nat-D / FeatureControlHRL
  Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆80Updated 7 years ago
• EndingCredits / Neural-Episodic-Control
  Implementation of Deepmind's Neural Episodic Control
  ☆58Updated 7 years ago
• MatheusMRFM / A3C-LSTM-with-Tensorflow
  An implementation of the A3C deep reinforcement learning method using a LSTM layer. Created with Tensorflow.
  ☆29Updated 7 years ago
• wulfebw / hierarchical_rl
  hierarchical deep reinforcement learning algorithms
  ☆41Updated 7 years ago
• xinleipan / gym-gridworld
  Simple grid-world environment compatible with OpenAI-gym
  ☆50Updated 5 years ago
• jeappen / gym-grid
  A simple Gridworld environment for Open AI gym
  ☆25Updated 6 years ago
• jsikyoon / a3c-distributed_tensorflow
  Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning
  ☆29Updated 7 years ago
• pkumusic / E-DRL
  Exploration Strategies for Deep Reinforcement Learning
  ☆39Updated 6 years ago
• andrewliao11 / pytorch-a3c-mujoco
  Implement A3C for Mujoco gym envs
  ☆72Updated 7 years ago
• mihahauke / VDAIC2017
  Helpful files for Visual Doom AI Competition 2017
  ☆44Updated 6 years ago
• MOCR / DDPG
  reimplementation of the ddpg algorithm using tensorflow
  ☆38Updated 8 years ago
• florensacc / snn4hrl
  Stochastic Neural Networks for Hierarchical Reinforcement Learning
  ☆96Updated 7 years ago
• neka-nat / async-rl-noreward
  Keras implementation of Curiosity-driven Exploration by Self-supervised Prediction
  ☆8Updated 7 years ago
• veronicachelu / meta-learning
  Meta Reinforcement Learning Experiments
  ☆34Updated 7 years ago
• mihahauke / deep_rl_vizdoom
  Deep reinforcement learning in ViZDoom (using Tensorflow)
  ☆19Updated 7 years ago
• clvrai / FeatureControlHRL-Tensorflow
  A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆32Updated 7 years ago
• tesslerc / H-DRLN
  Hierarchical Deep RL Network
  ☆31Updated 8 years ago
• hercky / ACER_tf
  Implementation for ACER in tensorflow and sonnet by deepmind
  ☆11Updated 7 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• mrkulk / hierarchical-deep-RL
  Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation
  ☆87Updated 7 years ago
• 0b01 / CommNet
  PyTorch implementation of CommNet
  ☆36Updated 7 years ago
• mansimov / acktr
  ☆17Updated 7 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆66Updated 6 years ago
• Refefer / Dagger
  Dagger - An implementation of Dataset Aggregation
  ☆32Updated 6 years ago
• sc420 / pygame-rl
  Game environment for reinforcement learning using Pygame
  ☆10Updated 5 years ago
• hoangminhle / MultiAgent-ImitationLearning
  Code for training policies based on paper Coordinated Multi-Agent Imitation Learning
  ☆26Updated 7 years ago
• krfricke / rl-benchmark
  Reinforcement learning benchmarking.
  ☆40Updated 6 years ago