radar-research-lab / MFGLibLinks
A library for mean-field games.
☆53Updated last week
Alternatives and similar repositories for MFGLib
Users that are interested in MFGLib are comparing it to the libraries listed below
Sorting:
- Experiments on a discrete mean field game model of population dynamics with reinforcement learning☆36Updated last year
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆20Updated 2 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆42Updated 4 years ago
- Multi Type Mean Field Reinforcement Learning☆31Updated 3 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Updated 3 years ago
- Implementation of Mean Field Multi-Agent Reinforcement Learning in Pytorch☆17Updated last year
- A collection of environments and reference agents for planning and reinforcement learning research in partially observable, multi-agent …☆21Updated 3 weeks ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆47Updated last year
- ☆22Updated last year
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆59Updated 4 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆87Updated last year
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆27Updated last year
- DecentralizedLearning☆24Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆36Updated 4 months ago
- Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms☆43Updated last year
- Deep Reinforcement Learning for Nash Equilibria☆42Updated 2 years ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆24Updated last year
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆42Updated 9 months ago
- ☆16Updated 3 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆78Updated 2 years ago
- Implementation of PPO Lagrangian in PyTorch☆47Updated 2 years ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆27Updated 3 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆33Updated 3 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated 6 months ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆31Updated last year
- Risk-Averse Distributional Reinforcement Learning: Code☆28Updated 6 years ago
- Collection of OpenAI parametrized action-space environments.☆65Updated 3 months ago
- jinxinglim / Game-Theoretical-Approaches-in-Multi-Agent-Reinforcement-Learning-Policy-Space-Response-Oracles☆14Updated 5 years ago
- MATE: the Multi-Agent Tracking Environment.☆45Updated 2 years ago