p-casgrain / Nash-DQN
Deep Reinforcement Learning for Nash Equilibria
☆41Updated 2 years ago
Alternatives and similar repositories for Nash-DQN:
Users that are interested in Nash-DQN are comparing it to the libraries listed below
- Multi Type Mean Field Reinforcement Learning☆31Updated 2 years ago
- Hierarchical Attention in Reinforcement Learning for Stock Order Executions☆28Updated 3 years ago
- Risk-Averse Distributional Reinforcement Learning: Code☆26Updated 6 years ago
- Experimenting with meta-learning approaches to opponent modelling in MARL. Building upon previous public implementations of MADDPG and M3…☆14Updated 2 years ago
- Nash Q Learning☆30Updated 4 years ago
- Experiments on a discrete mean field game model of population dynamics with reinforcement learning☆34Updated last year
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 5 years ago
- Decision Transformer: A brand new Offline RL Pattern.☆34Updated 3 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆55Updated 2 years ago
- ☆44Updated 2 years 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
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆99Updated 2 years ago
- DecentralizedLearning☆24Updated 2 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆46Updated last year
- The implement of all kinds of dqn reinforcement learning with Pytorch☆94Updated 3 years ago
- 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
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆26Updated 2 years ago
- A library for mean-field games.☆49Updated this week
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- MADDPG in Ray/RLlib☆53Updated 5 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆58Updated 4 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆46Updated 6 years ago
- ☆74Updated 5 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 4 years ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆59Updated last year
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆45Updated 2 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆26Updated last year