dimitarpg13 / reinforcement_learning_and_game_theory
Collection of materials and code samples on reinforcement learning / optimal control and game theory
☆13Updated this week
Alternatives and similar repositories for reinforcement_learning_and_game_theory:
Users that are interested in reinforcement_learning_and_game_theory are comparing it to the libraries listed below
- This repository includes a realization of the resilient projection-based consensus actor-critic algorithm that is resilient to adversaria…☆10Updated 2 years ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆13Updated 3 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆49Updated 6 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆34Updated last year
- Communication-efficient MARL for CACC☆21Updated last year
- Near-Optimal Multi-Agent Learning for Safe Coverage Control☆16Updated 9 months ago
- Python implementation of "Flocking for multi-agent dynamic systems: Algorithms and theory" by Olfati-Saber for multi-agent triangular for…☆41Updated 2 years ago
- POMG algorithm for large-scale pursuit game with partial observation and no communication.☆20Updated last month
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆40Updated 2 years ago
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆20Updated 2 years ago
- Codes for the paper "Consensus Learning for Cooperative Multi-Agent Reinforcement Learning"☆15Updated 2 years ago
- Proof of concept example for the idea of using distributed model predictive control as a function approximator in distributed reinforceme…☆11Updated last week
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆45Updated 2 years ago
- Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.☆30Updated last year
- ☆16Updated 4 years ago
- A plotter for reinforcement learning (RL) using Weights & Biases☆12Updated last year
- Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking (IROS22).☆9Updated 2 years ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆21Updated last year
- jinxinglim / Game-Theoretical-Approaches-in-Multi-Agent-Reinforcement-Learning-Policy-Space-Response-Oracles☆14Updated 5 years ago
- The Code of the paper: "ABCS Flocking: A Leader-Follower Collision Free UAV Flocking System with Multi-Agent Reinforcement Learning"☆13Updated 8 months ago
- Code for NeurIPS paper "Self-Organized Group for Cooperative Multi-agentReinforcement Learning".☆20Updated 2 years ago
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆19Updated 2 years ago
- A PettingZoo (https://pettingzoo.farama.org/) environment for maritime Capture the Flag with uncrewed surface vehicles (USVs).☆15Updated last week
- Python implementation of differential games - starting from simple 2 body pursuit/evader problems to more advanced scenarios.☆33Updated 4 years ago
- Multi-Agent Reinforcement Learning for Path Planning☆15Updated 3 years ago
- Hybrid action space reinforcement learning algorithms.☆12Updated 4 years ago
- 无人机动态覆盖控制；1. 实现了一个无人机点覆盖环境；2. 给出了无人机连通保持规则；3. 给出了基于MARL的控制算法☆48Updated 7 months ago
- (ICML 2023) The official code for RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolut…☆34Updated last year
- RL Dresden Algorithm Suite☆27Updated 8 months ago
- ☆31Updated 6 years ago