Alternatives and similar repositories for rl-zoo

Users that are interested in rl-zoo are comparing it to the libraries listed below

• nanxintin / deep-reinforcement-learning
  Reinforcement Learning and Deep Learning Resources
  ☆16Updated 7 years ago
• dtak / hip-mdp-public
  Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning
  ☆31Updated 7 years ago
• TomZahavy / GrayingTheBox
  Code implementation of: "Graying the black box: Understanding DQNs"
  ☆20Updated 8 years ago
• kazizzad / BDQN-MxNet-Gluon
  Efficient Exploration through Bayesian Deep Q-Networks
  ☆37Updated 7 years ago
• flowersteam / geppg
  ☆35Updated 7 years ago
• 0b01 / CommNet
  PyTorch implementation of CommNet
  ☆36Updated 8 years ago
• sparisi / td-reg
  TD-Regularized Actor-Critic Methods
  ☆35Updated 5 years ago
• wulfebw / hierarchical_rl
  hierarchical deep reinforcement learning algorithms
  ☆42Updated 8 years ago
• chaovven / PyRL
  PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)
  ☆34Updated 3 years ago
• apourchot / CEM-RL
  Combining Evolutionary Algorithms and deep RL in various ways
  ☆107Updated 5 years ago
• louaaron / GAN-Q-Learning
  Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
  ☆47Updated 4 years ago
• johannah / bootstrap_dqn
  Implementation of Bootstrap DQN and Randomized Prior Functions on ALE
  ☆55Updated 9 months ago
• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆27Updated 6 years ago
• zackchase / intrinsic-fear-dqn
  Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.
  ☆10Updated 8 years ago
• ppocma / ppocma
  ☆72Updated 6 years ago
• veronicachelu / meta-learning
  Meta Reinforcement Learning Experiments
  ☆34Updated 8 years ago
• Alfo5123 / Robust-Multitask-RL
  Machine Learning Course Project Skoltech 2018
  ☆108Updated 6 years ago
• AdeelMufti / RL-RND
  Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation
  ☆32Updated 6 years ago
• Santara / stochastic_value_gradient
  Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]
  ☆25Updated 3 years ago
• TomZahavy / CB_AE_DQN
  Contextual Bandits Action Elimination DQN
  ☆21Updated 7 years ago
• krasheninnikov / max-causal-ent-irl
  Maximum Causal Entropy Inverse Reinforcement Learning
  ☆48Updated 7 years ago
• voot-t / guide-actor-critic
  Keras implementation of guide actor-critic for continuous control
  ☆11Updated 7 years ago
• ajgupta93 / d4pg-pytorch
  In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.
  ☆19Updated 7 years ago
• AnujMahajanOxf / VIREL
  Code for VIREL: A Variational Inference Framework for Reinforcement Learning
  ☆14Updated 6 years ago
• AutumnWu / Streamlined-Off-Policy-Learning
  ICRL 2020
  ☆19Updated 5 years ago
• ShangtongZhang / DistributedES
  Distributed implementation of popular evolutionary methods
  ☆64Updated 7 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆68Updated 7 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 6 years ago
• bonniesjli / DQN_SR
  Count based exploration with the successor representation for Unity ML's Pyramid
  ☆12Updated 6 years ago
• florensacc / snn4hrl
  Stochastic Neural Networks for Hierarchical Reinforcement Learning
  ☆94Updated 7 years ago