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 in Constrained Markov Decision Processes☆59Updated 4 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆47Updated 6 years ago
- Multi Type Mean Field Reinforcement Learning☆31Updated 3 years ago
- Safe Reinforcement Learning algorithms☆74Updated 2 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 8 years ago
- Inverse Reinforcement Learning Argorithms☆54Updated 6 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago
- ☆45Updated 2 years ago
- A library for mean-field games.☆53Updated last week
- Multi-Objective Reinforcement Learning components built on top of RL glue components☆29Updated 2 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 7 months ago
- ☆76Updated last year
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 6 years ago
- Multi-Agent Determinantal Q-Learning☆43Updated 2 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 3 years ago
- Deep Implicit Coordination Graphs☆41Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆42Updated 4 years ago
- ☆52Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆56Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆95Updated 2 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆103Updated 3 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- Distributional Soft Actor Critic☆55Updated 5 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 5 years ago