Metro1998 / P-DQNLinks
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
☆56Updated 3 years ago
Alternatives and similar repositories for P-DQN
Users that are interested in P-DQN are comparing it to the libraries listed below
Sorting:
- my code for paper Parameterized-DQN☆24Updated 4 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆95Updated 11 months ago
- Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL☆128Updated 4 months ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆161Updated 2 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆63Updated 4 years ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆54Updated 3 years ago
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆34Updated 2 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆89Updated 4 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆89Updated 7 months ago
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆50Updated 2 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆56Updated 3 years ago
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆15Updated 5 years ago
- ☆66Updated last year
- PyTorch implementation of MATD3☆13Updated 5 years ago
- D3QN Pytorch☆63Updated 3 years ago
- ☆14Updated 4 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆94Updated 4 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆64Updated 2 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆43Updated 2 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆73Updated 3 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆105Updated 3 years ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆15Updated 4 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆128Updated 4 months ago
- 多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等☆210Updated 3 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆50Updated 5 years ago
- ☆20Updated 2 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆35Updated 3 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆20Updated 7 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆158Updated 2 years ago
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆23Updated 3 years ago