radar-research-lab / MFGLib
A library for mean-field games.
☆49Updated this week
Alternatives and similar repositories for MFGLib:
Users that are interested in MFGLib are comparing it to the libraries listed below
- Experiments on a discrete mean field game model of population dynamics with reinforcement learning☆34Updated 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…☆19Updated 2 years ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆26Updated last year
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆70Updated last year
- Multi Type Mean Field Reinforcement Learning☆31Updated 2 years ago
- DecentralizedLearning☆24Updated 2 years ago
- Implementation of Mean Field Multi-Agent Reinforcement Learning in Pytorch☆15Updated 10 months ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆39Updated 4 years ago
- Risk-Averse Distributional Reinforcement Learning: Code☆26Updated 6 years ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆41Updated 6 months ago
- ☆17Updated last year
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆58Updated 4 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆46Updated last year
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆82Updated last year
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆29Updated 3 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆34Updated 3 weeks ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆26Updated last year
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆26Updated 2 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 4 years ago
- ☆19Updated 9 months ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆45Updated 3 months ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆22Updated 3 years ago
- Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.☆48Updated last year
- A collection of environments and reference agents for planning and reinforcement learning research in partially observable, multi-agent …☆20Updated 4 months ago
- Implementing the two pioneering IRL papers "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000) and "Maximum Entropy Inve…☆27Updated last year
- Deep Reinforcement Learning for Nash Equilibria☆41Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆88Updated 6 months ago
- Link to paper: https://www.ssrn.com/abstract=3804655☆13Updated 3 years ago
- jinxinglim / Game-Theoretical-Approaches-in-Multi-Agent-Reinforcement-Learning-Policy-Space-Response-Oracles☆14Updated 5 years ago
- Collection of OpenAI parametrized action-space environments.☆62Updated 2 years ago