RunzheYang / MORLLinks
Multi-Objective Reinforcement Learning
☆294Updated 4 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☆104Updated 2 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆167Updated 2 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆227Updated 6 years ago
- Mean Field Multi-Agent Reinforcement Learning☆412Updated 5 years ago
- multi-agent deep reinforcement learning for networked system control.☆434Updated 5 years ago
- DGN Code☆360Updated 2 years ago
- Code for Weighted QMIX☆144Updated 5 years ago
- PyTorch implementation of SAC-Discrete.☆313Updated last year
- ☆220Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆330Updated 2 years ago
- ☆76Updated 6 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆120Updated 2 years ago
- The pytorch implementation of DGN on grid world and Starcraft☆149Updated 4 years ago
- Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…☆65Updated 3 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆96Updated 4 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆107Updated 3 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆780Updated 3 years ago
- ☆122Updated 2 years ago
- The code for maddpg using pytorch☆168Updated 5 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆247Updated 5 years ago
- ☆90Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆332Updated 4 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 6 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆120Updated last year
- A plotter for reinforcement learning (RL)☆234Updated 4 years ago
- ☆100Updated 5 years ago
- This is the official implementation of Multi-Agent PPO.☆129Updated 2 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆63Updated 5 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆86Updated 3 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆88Updated 8 years ago