Parsa33033 / Deep-Reinforcement-Learning-DQNLinks
Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay
☆98Updated 4 years ago
Alternatives and similar repositories for Deep-Reinforcement-Learning-DQN
Users that are interested in Deep-Reinforcement-Learning-DQN are comparing it to the libraries listed below
Sorting:
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆155Updated last year
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 4 years ago
- The code for maddpg using pytorch☆169Updated 4 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆342Updated 5 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆19Updated 7 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆87Updated 4 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆301Updated 5 years ago
- multi-agent deep reinforcement learning for networked system control.☆417Updated 4 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆218Updated 6 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆117Updated 2 years ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆346Updated 4 years ago
- 多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等☆201Updated 3 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆39Updated 5 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆48Updated 3 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆179Updated last year
- Multi-Agent Reinforcement Learning (MARL) papers with code☆374Updated 2 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 4 months ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆310Updated 2 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆139Updated last year
- ☆76Updated 5 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆148Updated last year
- ☆85Updated 3 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆632Updated 2 years ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆48Updated 3 years ago
- A novel DDPG method with prioritized experience replay (IEEE SMC 2017)☆50Updated 6 years ago
- ☆57Updated last year
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆488Updated last year
- ☆184Updated 3 years ago