XinJingHao / Prioritized-Experience-Replay-DDQN-Pytorch
A clean and robust implementation of Prioritized DQN and Prioritized Double DQN
☆19Updated 8 months ago
Alternatives and similar repositories for Prioritized-Experience-Replay-DDQN-Pytorch:
Users that are interested in Prioritized-Experience-Replay-DDQN-Pytorch are comparing it to the libraries listed below
- Jax and Torch Multi-Agent SAC on PettingZoo API☆69Updated 2 months ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆43Updated 2 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆41Updated 2 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆53Updated 3 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆32Updated 2 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆32Updated last year
- my code for paper Parameterized-DQN☆21Updated 3 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆57Updated 2 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆66Updated 8 months ago
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆30Updated last year
- PyTorch implementations of MADDPG, MAPPO (coming)☆112Updated 11 months ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆62Updated 2 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆49Updated 4 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆123Updated last year
- Lightweight multi-agent PPO for IEEE field.☆13Updated 2 years ago
- Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MAAC MAPPO☆20Updated this week
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆140Updated last year
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆44Updated 2 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆95Updated 2 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆118Updated 10 months ago
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆40Updated last year
- Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"☆30Updated 10 months ago
- Hybrid action space reinforcement learning algorithms.☆12Updated 3 years ago
- TD3 in Pytorch☆29Updated 3 years ago
- Simple implementation for Constrained Policy Optimization in Pytorch☆15Updated 2 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆79Updated 4 years ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆13Updated 3 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
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆103Updated last month
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆18Updated 6 years ago