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 6 years ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 4 years ago
• PKU-RL / Literature
  ☆107Updated 4 years 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 5 years ago
• wangyuhuix / TRGPPO
  ☆32Updated 3 years ago
• PKU-RL / FEN
  FEN Code
  ☆40Updated 6 years ago
• Hwhitetooth / lirpg
  ☆62Updated 7 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• lanyavik / BAIL
  ☆18Updated 3 years ago
• YuhangSong / Arena-Baselines
  Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.
  ☆103Updated 9 months ago
• 011235813 / lio
  Learning to Incentivize Other Learning Agents
  ☆35Updated 3 years ago
• schroederdewitt / mackrl
  Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)
  ☆33Updated 6 years ago
• MadryLab / implementation-matters
  ☆133Updated last year
• cheryyunl / Paper-List-of-MARL
  A new paper list for multi-agent reinforcement learning (actively maintained)
  ☆24Updated 5 years ago
• polixir / NeoRL
  Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets
  ☆129Updated last year
• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆71Updated 2 years ago
• wangyuhuix / TrulyPPO
  ☆30Updated 3 years ago
• qlan3 / Explorer
  Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
  ☆97Updated 5 months ago
• clvoloshin / constrained_batch_policy_learning
  ☆27Updated 6 years ago
• facebookresearch / CollaQ
  A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"
  ☆130Updated 2 years ago
• LiuShuai26 / Distributed-RL
  Distributed DRL by Ray and TensorFlow Tutorial.
  ☆10Updated 5 years ago
• salesforce / sibling-rivalry
  Code for Sibling Rivalry and experiments presented in associated paper
  ☆17Updated 7 months ago
• yalidu / liir
  Learning Individual Intrinsic Reward in MARL
  ☆63Updated 3 years ago
• HumanCompatibleAI / human_aware_rl
  Code for "On the Utility of Learning about Humans for Human-AI Coordination"
  ☆109Updated 2 years ago
• apsdehal / ic3net-envs
  Environments with IC3Net paper
  ☆13Updated 6 years ago
• rraileanu / policy-dynamics-value-functions
  ☆33Updated last year
• navneet-nmk / Hierarchical-Meta-Reinforcement-Learning
  This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
  ☆62Updated 6 years ago
• staghuntrpg / RPG
  This is the source code of RPG (Reward-Randomized Policy Gradient)
  ☆42Updated 3 years ago
• BorealisAI / pommerman-baseline
  Code for the paper "Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition"
  ☆37Updated 6 years ago
• ReinholdM / Papers-of-Offline-RL
  Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)
  ☆18Updated 3 years ago