Alternatives and similar repositories for PRR

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

• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 5 years ago
• LinZichuan / AdMRL
  Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
  ☆34Updated 4 years ago
• tianjunz / MADE
  ☆19Updated 3 years ago
• TomZahavy / CB_AE_DQN
  Contextual Bandits Action Elimination DQN
  ☆21Updated 6 years ago
• illidanlab / rpg
  Ranking Policy Gradient
  ☆23Updated 5 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 4 years ago
• ShoufaChen / clone-anonymous4open
  clone/download codes from https://anonymous.4open.science/
  ☆33Updated 3 years ago
• cheryyunl / Paper-List-of-MARL
  A new paper list for multi-agent reinforcement learning (actively maintained)
  ☆25Updated 5 years ago
• ml-jku / align-rudder
  Code to reproduce results on toy tasks and companion blog for the paper.
  ☆20Updated 2 years ago
• Continual-Lifelong-Learning / resources
  ☆17Updated 5 years ago
• cathywu / rllab-multiagent
  ☆11Updated 2 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• davidireland3 / LeNSE
  ☆14Updated 2 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 5 years ago
• ha0ransun / Path-Auxiliary-Sampler
  ☆11Updated 2 years ago
• KyunghyunLee / aes-rl
  ☆17Updated 4 years ago
• atavakol / action-hypergraph-networks
  (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices
  ☆23Updated 3 years ago
• haoliuhl / taming-maml
  Taming MAML: efficient unbiased meta-reinforcement learning
  ☆29Updated 2 years ago
• seungjaeryanlee / rl-exploration
  Reinforcement Learning papers on exploration methods.
  ☆19Updated 3 years ago
• zhougroup / IDAC
  Implicit Distributional Actor Critic
  ☆11Updated 3 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• djstrouse / InfoMARL
  using information theory to encourage agents to cooperate and compete
  ☆19Updated 6 years ago
• mklissa / phi_gcn
  Reward Propagation using Graph Convolutional Networks
  ☆13Updated 3 years ago
• laurimi / multiagent-prediction-reward
  Multi-agent active perception with prediction rewards
  ☆12Updated 4 years ago
• yudasong / briee
  Representation Learning in RL
  ☆16Updated 2 years ago
• two2tee / WorldModelPlanning
  ☆16Updated 4 years ago
• lns / memoire
  ☆18Updated 6 years ago
• AutumnWu / Streamlined-Off-Policy-Learning
  ICRL 2020
  ☆19Updated 5 years ago
• chandar-lab / Lifelong-Hanabi
  A Continual Multi-agent RL testbed based on Hanabi
  ☆30Updated 3 years ago