011235813 / discrete_mean_field_gameLinks
Experiments on a discrete mean field game model of population dynamics with reinforcement learning
☆36Updated last year
Alternatives and similar repositories for discrete_mean_field_game
Users that are interested in discrete_mean_field_game are comparing it to the libraries listed below
Sorting:
- Safe Reinforcement Learning algorithms☆74Updated 3 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆105Updated 4 years ago
- Multi Type Mean Field Reinforcement Learning☆31Updated 3 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 6 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 10 months ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆60Updated 5 years ago
- Deep Reinforcement Learning for Nash Equilibria☆43Updated 2 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- ☆78Updated last year
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Inverse Reinforcement Learning Argorithms☆54Updated 6 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆211Updated 6 years ago
- Distributional Soft Actor Critic☆58Updated 5 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆72Updated 8 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 5 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆55Updated 2 years ago
- Multi-Agent Determinantal Q-Learning☆43Updated 2 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 3 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆104Updated 3 years ago
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- Multi-Objective Reinforcement Learning components built on top of RL glue components☆29Updated 2 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆48Updated last year
- Solving POMDP using Recurrent networks☆91Updated 5 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆95Updated 3 months ago
- A library for mean-field games.☆53Updated 2 weeks ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆45Updated 4 years ago
- Soft Actor-Critic with advanced features☆51Updated this week
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆219Updated last year