Alternatives and similar repositories for memoire:

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

• lns / dapo
  Source code for the paper "Divergence-Augmented Policy Optimization"
  ☆37Updated 5 years ago
• wangyuhuix / TRGPPO
  ☆32Updated 2 years ago
• rommeoijcai2019 / rommeo
  IJCAI 2019 - Regularized Opponent Model with Maximum Entropy Objective (ROMMEO)
  ☆23Updated 2 years ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 3 years ago
• cheryyunl / Paper-List-of-MARL
  A new paper list for multi-agent reinforcement learning (actively maintained)
  ☆25Updated 5 years ago
• Hwhitetooth / lirpg
  ☆60Updated 6 years ago
• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆71Updated 2 years ago
• PKU-RL / FEN
  FEN Code
  ☆37Updated 5 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 4 years ago
• PKU-RL / Literature
  ☆97Updated 4 years ago
• clvoloshin / constrained_batch_policy_learning
  ☆26Updated 5 years ago
• wangyuhuix / TrulyPPO
  ☆30Updated 2 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 5 years ago
• salesforce / sibling-rivalry
  Code for Sibling Rivalry and experiments presented in associated paper
  ☆17Updated 3 years ago
• rraileanu / policy-dynamics-value-functions
  ☆32Updated 7 months ago
• jparkerholder / DvD_ES
  Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…
  ☆44Updated 4 years ago
• yudasong / briee
  Representation Learning in RL
  ☆16Updated 2 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• staghuntrpg / RPG
  This is the source code of RPG (Reward-Randomized Policy Gradient)
  ☆43Updated 2 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 5 years ago
• carloderamo / shared
  ☆29Updated 3 years ago
• RockySJ / ampo
  ☆15Updated 4 years ago
• lanyavik / BAIL
  ☆17Updated 2 years ago
• schroederdewitt / mackrl
  Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)
  ☆33Updated 5 years ago
• nathangrinsztajn / Box-World
  Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"
  ☆45Updated last year
• davidbrandfonbrener / onestep-rl
  ☆42Updated 3 years ago
• suyoung-lee / Episodic-Backward-Update
  Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.
  ☆17Updated 5 years ago
• YuhangSong / DEHRL
  Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.
  ☆48Updated 6 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆30Updated 5 years ago
• apexrl / bmpo
  Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>
  ☆23Updated 2 years ago