RunzheYang / MORLLinks
Multi-Objective Reinforcement Learning
☆274Updated 3 years ago
Alternatives and similar repositories for MORL
Users that are interested in MORL are comparing it to the libraries listed below
Sorting:
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆94Updated 2 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆155Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆314Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆302Updated 10 months ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆209Updated 6 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- Code for Weighted QMIX☆136Updated 4 years ago
- ☆120Updated 2 years ago
- multi-agent deep reinforcement learning for networked system control.☆413Updated 4 years ago
- The code for maddpg using pytorch☆168Updated 4 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆128Updated 10 months ago
- ☆85Updated 3 years ago
- ☆76Updated 5 years ago
- Mean Field Multi-Agent Reinforcement Learning☆395Updated 5 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆98Updated 5 years ago
- The pytorch implementation of DGN on grid world and Starcraft☆142Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆174Updated last year
- DGN Code☆351Updated 2 years ago
- ☆204Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆545Updated 3 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆85Updated 7 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆103Updated 2 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆630Updated 5 years ago
- Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…☆66Updated 2 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆232Updated 4 years ago
- ☆96Updated 3 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆744Updated 3 years ago
- A plotter for reinforcement learning (RL)☆224Updated 3 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 7 months ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆341Updated 5 years ago