ZYunfeii / DRL_algorithm_library
This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
☆95Updated 2 years ago
Alternatives and similar repositories for DRL_algorithm_library:
Users that are interested in DRL_algorithm_library are comparing it to the libraries listed below
- a clean and robust Pytorch implementation of SAC on continuous action space☆66Updated 8 months ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆57Updated 2 years ago
- TD3 in Pytorch☆29Updated 3 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆32Updated 2 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆69Updated 2 months ago
- implementation of MADDPG using PyTorch and multiagent-particle-envs☆32Updated 2 years ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆112Updated 11 months 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
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆44Updated 2 years ago
- Multi-UAV target round-up based on MADDPG☆83Updated this week
- implementation of MADDPG using PettingZoo and PyTorch☆123Updated last year
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆49Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆140Updated last year
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆61Updated 2 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆18Updated 6 years ago
- RL algorithms☆140Updated 3 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆41Updated 2 years ago
- D3QN Pytorch☆57Updated 3 years ago
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆13Updated 4 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆118Updated 10 months ago
- POMG algorithm for large-scale pursuit game with partial observation and no communication.☆20Updated last year
- Hierarchical and Stable Multiagent Reinforcement Learning for Cooperative Navigation Control☆7Updated 2 years ago
- This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".☆73Updated 4 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆83Updated last year
- The implementation of LSTM-TD3.☆73Updated 2 years ago
- Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.☆31Updated 3 years ago
- Implement reinforcement learning algorithms in Pytorch☆33Updated 3 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
- Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym☆56Updated 3 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆17Updated 6 years ago