dimitarpg13 / reinforcement_learning_and_game_theoryLinks
Collection of materials and code samples on reinforcement learning / optimal control and game theory
☆15Updated 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
Sorting:
- This repository includes a realization of the resilient projection-based consensus actor-critic algorithm that is resilient to adversaria…☆10Updated 3 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆49Updated 2 years ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆24Updated last year
- LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control☆30Updated last year
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆39Updated 2 years ago
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆20Updated 3 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated 6 months ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆14Updated 3 years ago
- Implementation of PPO Lagrangian in PyTorch☆47Updated 2 years ago
- Python implementation of differential games - starting from simple 2 body pursuit/evader problems to more advanced scenarios.☆36Updated 5 years ago
- Communication-efficient MARL for CACC☆26Updated last year
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆51Updated 6 years ago
- ☆17Updated 4 years ago
- Repository containing the code for safe reinforcement learning in two custom environments☆45Updated 2 months ago
- Hybrid action space reinforcement learning algorithms.☆13Updated 4 years ago
- Python implementation of "Flocking for multi-agent dynamic systems: Algorithms and theory" by Olfati-Saber for multi-agent triangular for…☆44Updated 2 years ago
- Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.☆15Updated last year
- Code space for L4DC paper "State-wise Safe Reinforcement Learning With Pixel Observations"☆12Updated last year
- Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.☆35Updated last year
- jinxinglim / Game-Theoretical-Approaches-in-Multi-Agent-Reinforcement-Learning-Policy-Space-Response-Oracles☆15Updated 5 years ago
- Deep Learning (FS 2020)☆17Updated 2 years ago
- Proof of concept example for the idea of using distributed model predictive control as a function approximator in distributed reinforceme…☆13Updated 3 months ago
- 新增一个CBF层，并将其结合进actor网络中，得到safe RL框架。后续验证中发现这种做法并没有实质性的用处，所以不再继续这个项目☆9Updated 2 years ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆48Updated 5 years ago
- Codes for the paper "Consensus Learning for Cooperative Multi-Agent Reinforcement Learning"☆16Updated 2 years ago
- Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022☆29Updated 2 years ago
- ☆35Updated 5 months ago
- Implementation of the Nash Q-Learning algorithm to solve simple MARL problems with two agents.☆22Updated 2 years ago
- ☆16Updated 2 years ago
- ☆41Updated 3 years ago