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
- Hierarchical Attention in Reinforcement Learning for Stock Order Executions☆28Updated 3 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
- Risk-Averse Distributional Reinforcement Learning: Code☆26Updated 6 years ago
- Multi Type Mean Field Reinforcement Learning☆31Updated 2 years ago
- Decision Transformer: A brand new Offline RL Pattern.☆34Updated 3 years ago
- PyTorch implementation of QR-DQN: Distributional Reinforcement Learning with Quantile Regression☆26Updated 4 years ago
- Experiments with reinforcement learning and recurrent neural networks☆113Updated last year
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆26Updated last year
- Nash Q Learning☆30Updated 4 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆47Updated 6 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Solving POMDP using Recurrent networks☆85Updated 4 years ago
- Official implementation for "Towards Safe Reinforcement Learning via Constraining Conditional Value at Risk" (IJCAI 2022)☆15Updated 5 months ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆57Updated 4 years ago
- Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning☆38Updated 2 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆45Updated last year
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆55Updated 2 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆28Updated 6 years ago
- ☆47Updated 3 years ago
- ☆73Updated 5 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- ☆41Updated 5 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆46Updated 6 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆99Updated 2 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆91Updated last year
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- ☆8Updated 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
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago