anita-hu / TF2-RL
Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
☆300Updated 2 years ago
Alternatives and similar repositories for TF2-RL:
Users that are interested in TF2-RL are comparing it to the libraries listed below
- Reinforcement Learning Algorithms Based on PyTorch☆447Updated 3 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆193Updated 5 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆323Updated 4 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆423Updated last year
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆308Updated 3 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆579Updated 5 years ago
- The code for maddpg using pytorch☆162Updated 4 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆678Updated 2 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆279Updated 4 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆550Updated 2 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆534Updated 7 years ago
- PyTorch implementation of SAC-Discrete.☆286Updated 4 months ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆685Updated 2 years ago
- multi-agent deep reinforcement learning for networked system control.☆390Updated 4 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆618Updated 6 years ago
- ☆182Updated 2 years ago
- 多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等☆184Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆677Updated last year
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆274Updated 3 years ago
- Mean Field Multi-Agent Reinforcement Learning☆378Updated 4 years ago
- Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.☆461Updated 2 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆491Updated 3 years ago
- Multi-Agent Reinforcement Learning (MARL) papers with code☆322Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆298Updated 3 years ago
- Implementation of benchmark RL algorithms☆461Updated 2 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆323Updated last year
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆137Updated last year
- Tutorial for Reinforcement Learning☆173Updated 2 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆91Updated 3 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 3 years ago