danakianfar / multi_agent_systemsLinks
Multi-Agent Systems Course 2017 - MSc Artificial Intelligence @ UvA
☆18Updated 8 years ago
Alternatives and similar repositories for multi_agent_systems
Users that are interested in multi_agent_systems are comparing it to the libraries listed below
Sorting:
- Actor critic reinforcement learning + motion and task planning under LTL tasks + wireless sensor network routing☆14Updated 4 years ago
- Deep Reinforcement Learning applied to a modern 3D video-game environment called Delivery Duel.☆41Updated 7 years ago
- Tensorflow is not only an well designed deep learning toolbox, but also a standard symbolic programming framework. In this repository, we…☆12Updated 7 years ago
- A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.☆37Updated 7 years ago
- Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment☆11Updated 7 years ago
- TensorFlow implementation of Deep RL (Reinforcement Learning) papers based on deep Q-learning (DQN)☆10Updated 7 years ago
- Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília☆68Updated 7 years ago
- solutions to the examples and exercises☆43Updated 9 years ago
- TD-Regularized Actor-Critic Methods☆36Updated 6 years ago
- ☆20Updated 6 years ago
- Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.☆29Updated 7 years ago
- ☆20Updated 6 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 5 years ago
- Multiagent deep reinforcement learning research project☆28Updated 2 weeks ago
- Tensorflow implementation of DQN to control cart-pole from OpenAI gym environment☆14Updated 8 years ago
- Fully Cooperative Multi-Agent Deep Reinforcement Learning☆28Updated 6 years ago
- Meta Reinforcement Learning Experiments☆35Updated 8 years ago
- This project visualizes the knowledge of an agent trained by Deep Reinforcement Learning (paper will be published) using Backpropagation,…☆18Updated 5 years ago
- Applying Imagination-Augmented Agents for Deep Reinforcement Learning to the Rubik's Cube☆16Updated 7 years ago
- Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.☆10Updated 8 years ago
- research and implementations of Deep RL agents and their applications☆59Updated 5 months ago
- A tool for experimenting with evolutionary optimization methods for machine learning algorithms, by distributing the workload over a larg…☆13Updated 7 years ago
- Value iteration, policy iteration, and Q-Learning in a grid-world MDP.☆28Updated 2 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- The Mayan Adventure is an open-source reinforcement learning environment for Unity ML-Agents. In this environment, you train your agent …☆36Updated 4 years ago
- Implementation of basic reinforcement learning algorithms (Q-learning, SARSA, Policy iteration and Value Iteration) on benchmark RL MDPs …☆37Updated 9 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- PyTorch implementation of various reinforcement learning algorithms☆18Updated 7 years ago
- Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL☆78Updated 6 years ago
- A curated list of multiagent learning and related area resources.☆78Updated 6 years ago