Metro1998 / P-DQNLinks
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
☆53Updated 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☆22Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆158Updated last year
- Jax and Torch Multi-Agent SAC on PettingZoo API☆89Updated 9 months ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆60Updated 4 years ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆51Updated 3 years ago
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆33Updated 2 years ago
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆47Updated 2 years ago
- Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL☆105Updated last month
- ☆62Updated last year
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆86Updated 4 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- PyTorch implementation of MATD3☆13Updated 5 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆52Updated 3 years ago
- D3QN Pytorch☆62Updated 3 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆42Updated 10 months ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆15Updated 4 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆83Updated 4 months ago
- 多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等☆204Updated 3 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆64Updated 2 years ago
- 🎾 Multi-Agent Proximal Policy Optimization approach to a competitive reinforcement learning problem☆22Updated 2 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆42Updated 2 years ago
- ☆14Updated 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
- RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG,…☆17Updated last year
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆15Updated 5 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆49Updated 5 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆52Updated 6 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆104Updated 3 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆119Updated last month
- Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?☆25Updated last year