giorgionicoletti / deep_Q_learning_maze
Implementation of Deep Q-learning to solve random mazes.
☆19Updated 3 years ago
Alternatives and similar repositories for deep_Q_learning_maze:
Users that are interested in deep_Q_learning_maze are comparing it to the libraries listed below
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆166Updated last year
- This is the official implementation of Multi-Agent PPO.☆104Updated 2 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆73Updated last week
- Deep recurrent Q learning on CartPole-v1 environment☆89Updated last year
- A clean and robust Pytorch implementation of PPO on continuous action space.☆143Updated 10 months ago
- PyTorch implementation of Constrained Policy Optimization☆53Updated 3 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆178Updated 7 months ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆207Updated 5 years ago
- Implement reinforcement learning algorithms in Pytorch☆33Updated 3 years ago
- Value-Decomposition Networks For Cooperative Multi-Agent Learning☆22Updated 4 years ago
- A plotter for reinforcement learning (RL)☆223Updated 3 years ago
- ☆200Updated last year
- Multi-Agent Reinforcement Learning (MARL) papers☆251Updated 2 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆81Updated 4 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆336Updated 4 years ago
- A clean and robust Pytorch implementation of PPO on Discrete action space☆67Updated 10 months ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm