marcbrittain / Autonomous-ATC
The open source air traffic simulator
☆22Updated 4 years ago
Related projects: ⓘ
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆39Updated 4 years ago
- A Gym environment for navigation with an F-16 model simulated in JSBSim.☆32Updated last month
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆54Updated 2 years ago
- Reinforcement learning for an air traffic control task. OpenAI gym based simulation.☆64Updated last year
- ☆24Updated 3 years ago
- 用DDPG/MADDPG/DQN/MADDPG+advantage实验 OpenAI开源的MPE环境☆22Updated 6 years ago
- ☆36Updated 4 years ago
- Implementation of DyMA-CL, MARL algorithm☆22Updated 4 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆70Updated 8 months ago
- Python Version of F-16 Maneuver Verification Benchmark☆108Updated last week
- Jax and Torch Multi-Agent SAC on PettingZoo API☆56Updated last year
- A Gym Dogfighting Simulation Benchmark for Reinforcement Learning Research☆80Updated 9 months ago
- A list of safe reinforcement learning papers☆20Updated 4 years ago
- ☆36Updated 2 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆34Updated 5 years ago
- Multi-Agent Reinforcement Learning☆12Updated 4 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆18Updated 3 years ago
- This is an implementation of the paper Cooperative and Distributed Reinforcement Learning of Drones for Field Coverage by Huy Xuan Pham, …☆14Updated 4 years ago
- I2Q: A Fully Decentralized Q-Learning Algorithm☆13Updated last year
- ☆18Updated this week
- MSc Informatics dissertation project - University of Edinburgh: Curiosity in Multi-Agent Reinforcement Learning☆12Updated 5 years ago
- Traffic Signal Control Competition☆37Updated 5 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
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆30Updated 2 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆48Updated 5 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆72Updated 3 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆38Updated 4 years ago
- A reinforcement learning environment for aircraft control using the JSBSim flight dynamics model☆11Updated 3 years ago
- This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".☆62Updated 3 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆66Updated 5 months ago