yatharthgarg / Reinforcement-LearningLinks
Using WoLF (win or learn fast) PHC (policy hill climbing) algorithm to implement stochastic games
☆14Updated 5 years ago
Alternatives and similar repositories for Reinforcement-Learning
Users that are interested in Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- ☆41Updated 3 years ago
- This is code for finding the minimax/nash/stackelberg strategy of players in Markov Games.☆24Updated 5 years ago
- 强化学习中纳什Qlearning 实现矩阵博弈☆30Updated 6 years ago
- Nash Q Learning☆31Updated 4 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆38Updated 6 years ago
- Hybrid action space reinforcement learning algorithms.☆13Updated 4 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆57Updated 3 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆39Updated 5 years ago
- Deep learning implementations (Asynchronous Deep Q-Learning) of multiple Game Theory algorithms for adversarial learning (WoLF-PHC, GIGA-…☆15Updated 7 years ago
- Lightweight multi-agent PPO for IEEE field.☆14Updated 3 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆51Updated 6 years ago
- ☆14Updated 4 years ago
- ☆85Updated 3 years ago
- Decentralized deep multi-agent reinforcement learning in physical environments.☆14Updated 6 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆94Updated 2 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆154Updated last year
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆48Updated 3 years ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆14Updated 3 years ago
- PyTorch implementation of MATD3☆13Updated 5 years ago
- scalable multi agents reinforcement learning☆61Updated 7 years ago
- This is the code provided to support the paper of "Stackelberg Game Theory Based Optimization Model for the Design of Payment Mechanism i…☆25Updated 5 years ago
- my code for paper Parameterized-DQN☆22Updated 4 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆37Updated 2 years ago
- ☆16Updated 3 years ago
- Some multiagent deep reinforcement learning algorithms and its PyTorch implementation.☆13Updated 5 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆105Updated 4 years ago
- ☆14Updated 4 years ago
- Dynamic Power Management using Reinforcement Learning for IoT devices.☆10Updated 3 years ago
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆43Updated 2 years ago
- Decision making using Reinforcement Learning☆22Updated 5 years ago