giorgionicoletti / deep_Q_learning_mazeLinks
Implementation of Deep Q-learning to solve random mazes.
☆19Updated 4 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
Sorting:
- Implementation of the Nash Q-Learning algorithm to solve simple MARL problems with two agents.☆26Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆220Updated last year
- Multi agent PPO implementation in Pytorch for Unity ML Agents environments.☆28Updated last year
- PyTorch implementation of Constrained Policy Optimization☆55Updated 4 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆169Updated last year
- A plotter for reinforcement learning (RL)☆235Updated 4 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆202Updated last year
- Deep recurrent Q learning on CartPole-v1 environment☆94Updated 2 years ago
- ☆110Updated 4 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆87Updated 3 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆92Updated 5 years ago
- ☆77Updated 2 years ago
- NeurIPS2022: Constrained Update Projection Approach to Safe Policy Optimization☆13Updated 2 years ago
- ☆222Updated 2 years ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆76Updated 2 years ago
- Multi-Agent Reinforcement Learning (MARL) papers☆287Updated 3 years ago
- Implementation of Off Policy Adversarial Inverse Reinforcement Learning☆23Updated 5 years ago
- ☆128Updated 4 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆65Updated 5 years ago
- A Collection of Multi-Agent Reinforcement Learning (MARL) Resources☆258Updated 3 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆80Updated 5 years ago
- A collection of recent MARL papers☆105Updated last year
- Transformer in RL for decision-making☆104Updated 3 years ago
- Reinforcement Learning for Gym CarRacing-v0 with PyTorch☆159Updated 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
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆80Updated 2 years ago
- Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)☆76Updated 3 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆71Updated last year
- ☆13Updated 2 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆171Updated last year