Alternatives and similar repositories for markov-game

Users that are interested in markov-game are comparing it to the libraries listed below

• hari-sikchi / safeRL
  Safe Reinforcement Learning algorithms
  ☆75Updated 3 years ago
• miquelramirez / pr-as-planning-demo
  Demo for Plan Recognition as Planning over Classical Action Theories
  ☆12Updated 8 years ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 4 years ago
• IBM / grammar2pddl
  Code that translates grammar into PDDL, runs a planner to produce multiple plans, translates plans into trainable lale pipelines and trai…
  ☆18Updated last month
• sparisi / td-reg
  TD-Regularized Actor-Critic Methods
  ☆35Updated 5 years ago
• YuhangSong / Arena-Baselines
  Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.
  ☆103Updated 7 months ago
• google-deepmind / labmaze
  A standalone release of DeepMind Lab's maze generator with Python bindings.
  ☆65Updated 2 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 6 years ago
• sisl / POMDPModelChecking.jl
  Perform Model Checking and POMDP Planning from LTL specifications using POMDPs.jl
  ☆15Updated last year
• whitemech / Plan4Past
  Classical and FOND Planning for Pure-Past Linear Temporal Logic Goals
  ☆19Updated last year
• Ankur-Deka / Emergent-Multiagent-Strategies
  Emergence of complex strategies through multiagent competition
  ☆45Updated 2 years ago
• schroederdewitt / mackrl
  Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)
  ☆32Updated 5 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• wendelinboehmer / dcg
  ☆78Updated last year
• pucrs-automated-planning / goal-plan-recognition-dataset
  Datasets for Goal and Plan Recognition using Classical Planning Domains.
  ☆27Updated 3 weeks ago
• hsvgbkhgbv / shapley-q-learning
  This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.
  ☆49Updated last year
• chuangyc / awesome-multiagent-learning
  A curated list of multiagent learning and related area resources.
  ☆77Updated 6 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
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆73Updated 8 years ago
• matheusportela / Multiagent-RL
  Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília
  ☆68Updated 7 years ago
• RonanFR / UCRL
  ☆27Updated 6 years ago
• thiagopbueno / rddlgym
  A toolkit for working with RDDL domains in Python3.
  ☆17Updated 4 years ago
• sanketloke / dlmultiagentsoccer
  Deep Reinforcement Learning for Multi Agent Soccer
  ☆16Updated 8 years ago
• JBLanier / stratego_env
  Multi-Agent RL Environment for the Stratego Board Game (and variants)
  ☆34Updated 3 weeks ago
• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆47Updated 6 years ago
• arushijain94 / SafeOptionCritic
  Safe Option-Critic: Learning Safety in the Option-Critic Architecture
  ☆20Updated 6 years ago
• astier / model-free-episodic-control
  Model-Free-Episodic-Control implementation.
  ☆17Updated 6 years ago
• apsdehal / ic3net-envs
  Environments with IC3Net paper
  ☆13Updated 6 years ago
• IBM / constrained-rl
  Constrained Exploration and Recovery from Experience Shaping
  ☆22Updated 6 years ago