jtonglet / Nash-Q-Learning
Implementation of the Nash Q-Learning algorithm to solve simple MARL problems with two agents.
☆21Updated 2 years ago
Alternatives and similar repositories for Nash-Q-Learning:
Users that are interested in Nash-Q-Learning are comparing it to the libraries listed below
- ☆67Updated last year
- Deep Learning (FS 2020)☆16Updated 2 years ago
- Multi-agent version of highway_env simulator☆20Updated 4 years ago
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆19Updated 2 years ago
- Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects☆34Updated last year
- Implementation of PPO Lagrangian in PyTorch☆35Updated 2 years ago
- TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed…☆87Updated 2 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆39Updated 2 years ago
- Communication-efficient MARL for CACC☆21Updated last year
- Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.☆43Updated 3 months ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆51Updated last year
- ☆14Updated 2 years ago
- [IEEE T-ASE] [IROS 2022] Unified Automatic Control of Vehicular Systems With Reinforcement Learning☆34Updated last year
- MPG is originated from the paper "Mixed policy gradient", which also contains a cluster of high-quality implementations of deep reinforce…☆21Updated 2 years ago
- Reinforcement Learning Practice for Multi and Single-Agent Autonomous vehicle☆12Updated 4 years ago
- [Neurocomputing, 2023] Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning☆19Updated last year
- jinxinglim / Game-Theoretical-Approaches-in-Multi-Agent-Reinforcement-Learning-Policy-Space-Response-Oracles☆14Updated 5 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆68Updated last year
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆47Updated 6 years ago
- Applying Constrained Policy Networks on Highway Environment☆38Updated 3 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆32Updated 8 months ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆38Updated 6 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆67Updated 5 years ago
- ☆9Updated 2 years ago
- Heterogeneous Multi-Robot Reinforcement Learning☆39Updated 4 months ago
- The official code releasement of publications in MARL field of TJU RL lab.☆68Updated 2 years ago
- A novel Hierarchical Imitation Learning algorithm based on AIRL.☆21Updated last year
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆42Updated 5 years ago
- ☆10Updated 3 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆43Updated 5 years ago