anita-hu / TF2-RLLinks
Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
☆312Updated 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
Sorting:
- Reinforcement Learning Algorithms Based on PyTorch☆448Updated 3 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆219Updated 6 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆306Updated 5 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆348Updated 5 years ago
- The code for maddpg using pytorch☆170Updated 4 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆646Updated 5 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆759Updated 3 years ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆354Updated 4 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆91Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆290Updated 4 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆720Updated 3 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆639Updated 3 years ago
- multi-agent deep reinforcement learning for networked system control.☆420Updated 4 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆596Updated 7 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆158Updated last year
- PyTorch implementation of SAC-Discrete.☆308Updated last year
- A clean and robust Pytorch implementation of PPO on continuous action space.☆159Updated last year
- The implement of the policy gradient RL algorithm with pytorch☆39Updated 4 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆491Updated 2 years ago
- My DRL library with tensorflow1.14 based on openai spinning-up☆62Updated 4 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆339Updated 2 years ago
- ☆184Updated 3 years ago
- 多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等☆202Updated 3 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆65Updated 6 years ago
- Implementation of benchmark RL algorithms☆468Updated 3 years ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆529Updated 7 years ago
- Tutorial for Reinforcement Learning☆187Updated 3 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆667Updated 7 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆415Updated 4 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year