Alternatives and similar repositories for vime

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

• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆712Updated 6 years ago
• wojzaremba / trpo
  ☆101Updated 8 years ago
• rmst / ddpg
  TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)
  ☆214Updated 7 years ago
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆176Updated 7 years ago
• Kaixhin / Atari
  Persistent advantage learning dueling double DQN for the Arcade Learning Environment
  ☆263Updated 7 years ago
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆403Updated 8 years ago
• Breakend / gym-extensions
  This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement le…
  ☆215Updated 5 years ago
• openai / EPG
  Code for the paper "Evolved Policy Gradients"
  ☆250Updated 6 years ago
• openai / baselines-results
  ☆117Updated 4 years ago
• carpedm20 / NAF-tensorflow
  "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
  ☆192Updated 6 years ago
• avivt / VIN
  Value Iteration Networks
  ☆289Updated 8 years ago
• rlbayes / rllabplusplus
  ☆159Updated 7 years ago
• pemami4911 / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆300Updated 6 years ago
• iassael / learning-to-communicate
  Learning to Communicate with Deep Multi-Agent Reinforcement Learning
  ☆436Updated 6 years ago
• stevenpjg / ddpg-aigym
  Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…
  ☆274Updated 7 years ago
• isl-org / DirectFuturePrediction
  Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017
  ☆150Updated 8 months ago
• Alfredvc / paac
  Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning
  ☆202Updated 7 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆425Updated last year
• kentsommer / pytorch-value-iteration-networks
  Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)
  ☆319Updated 4 years ago
• hengyuan-hu / rainbow
  A PyTorch implementation of Rainbow DQN agent
  ☆169Updated 7 years ago
• openai / robosumo
  Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"
  ☆306Updated 2 years ago
• davidhershey / feudal_networks
  An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161
  ☆183Updated 7 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆631Updated 7 years ago
• muupan / async-rl
  Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
  ☆403Updated 8 years ago
• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆615Updated last year
• yao62995 / A3C
  Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.
  ☆120Updated 8 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆361Updated 4 years ago
• facebookarchive / CommNet
  Neural network model, suitable for multi-agent learning. https://arxiv.org/abs/1605.07736
  ☆215Updated 8 years ago
• junhyukoh / value-prediction-network
  NIPS 2017 Value Prediction Network
  ☆166Updated 7 years ago
• sherjilozair / dqn
  Basic DQN implementation
  ☆225Updated 7 years ago