XinJingHao / Prioritized-Experience-Replay-DDQN-Pytorch
A clean and robust implementation of Prioritized DQN and Prioritized Double DQN
☆19Updated 10 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
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆47Updated 2 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆77Updated 5 months ago
- Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL☆57Updated last week
- a clean and robust Pytorch implementation of SAC on continuous action space☆73Updated last week
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆99Updated 2 years ago
- Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"☆32Updated last year
- Simple implementation for Constrained Policy Optimization in Pytorch☆15Updated 2 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆35Updated last year
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆50Updated 2 months ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆65Updated 3 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆43Updated 3 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆35Updated 6 months ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆56Updated 3 years ago
- D3QN Pytorch☆61Updated 3 years ago
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆42Updated last year
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆19Updated 6 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆62Updated 2 years ago
- Transformer-based Multi-Agent Actor-Critic Framework☆44Updated 2 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆81Updated 4 years ago
- DQN by Matlab and Python☆29Updated 5 years ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆47Updated 2 years ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆138Updated last year
- DDPG in Pytorch☆45Updated 3 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆74Updated 2 years ago
- implementation of MADDPG using PyTorch and multiagent-particle-envs☆36Updated 2 years ago
- Multi-Agent Reinforcement Learning approach to solve a battery charge scheduling problem, in a decentralized scenario.☆15Updated 4 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆34Updated 2 years ago
- my code for paper Parameterized-DQN☆21Updated 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
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆50Updated 6 years ago