itsTAMART / UAV-RL-environment
A simple and fast 2D RL environment with obstacles to learn navigation.
☆21Updated 5 years ago
Alternatives and similar repositories for UAV-RL-environment:
Users that are interested in UAV-RL-environment are comparing it to the libraries listed below
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆49Updated last month
- Hierarchical and Stable Multiagent Reinforcement Learning for Cooperative Navigation Control☆9Updated 2 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆39Updated 5 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆48Updated 5 years ago
- Multi Agent SAC and DDPG applied to path finding in a 3-dimensional grid☆12Updated 3 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- The implementation of LSTM-TD3.☆77Updated 2 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆18Updated 6 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆79Updated 4 years ago
- POMG algorithm for large-scale pursuit game with partial observation and no communication.☆20Updated last month
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆61Updated 2 years ago
- MBaranPeker / Pursuit-Evasion-Game-with-Deep-Reinforcement-Learning-in-an-environment-with-an-obstacleIn this study, a multi agent chase-escape problem using Deep Q learning. Actors of the problem are smart evader and smart pursuers with o…☆23Updated last year
- ☆48Updated 2 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆21Updated 3 years ago
- 用DDPG/MADDPG/DQN/MADDPG+advantage实验 OpenAI开源的MPE环境☆23Updated 6 years ago
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆15Updated 4 years ago
- Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.☆34Updated 4 years ago
- This repository is the official implementation of Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor N…☆44Updated 4 years ago
- An implementation of deep reinforcement learning TD3 algorithm with prioritized experience replay (PER) buffer☆23Updated 5 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆19Updated 7 years ago
- implementation of MADDPG using PyTorch and multiagent-particle-envs☆35Updated 2 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆63Updated 3 years ago
- scalable multi agents reinforcement learning☆60Updated 6 years ago
- A deep reinforcement learning multi-agent algorithm, where a team learns to complete a task and communicate between agents.☆16Updated 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
- This code base enables multi-agent RL in the RLlib☆7Updated 2 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆106Updated 3 years ago
- An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in ful…☆39Updated 7 months ago
- ReinforcementLearning Learn Play Atari Using DDPG and LSTM.☆20Updated 7 years ago
- This is a personal library that strives to implement various MARL algorithms. The environment only integrates MPE, and the algorithm curr…☆15Updated 2 years ago