M-Lin-DM / Multi-Agent-TransportersLinks
Training Agents in a cooperative multi-agent deep reinforcement learning setting to transport objects across a space
☆14Updated 4 years ago
Alternatives and similar repositories for Multi-Agent-Transporters
Users that are interested in Multi-Agent-Transporters are comparing it to the libraries listed below
Sorting:
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆28Updated 5 years ago
- A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.☆37Updated 6 years ago
- Emergence of complex strategies through multiagent competition☆45Updated 2 years ago
- implementation of "Evolution Strategies as a Scalable Alternative to Reinforcement Learning" OpenAI paper☆20Updated 4 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆49Updated last year
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆80Updated 5 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 11 months ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- Multi-Objective Deep Reinforcement Learning☆45Updated 8 years ago
- Implementation for mSAC methods in PyTorch☆41Updated 4 years ago
- Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.☆29Updated 7 years ago
- Extending rllab to event-driven multiagent environments☆14Updated 7 years ago
- Implementation of DyMA-CL, MARL algorithm☆28Updated 5 years ago
- Collection of OpenAI parametrized action-space environments.☆66Updated 7 months ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆42Updated 6 years ago
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆20Updated 3 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆34Updated 6 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆106Updated 3 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆58Updated 3 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆102Updated 2 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆48Updated last year
- ☆29Updated 4 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated last year
- MADDPG in Ray/RLlib☆23Updated 5 years ago
- Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"☆36Updated 4 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆59Updated 4 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- DecentralizedLearning☆25Updated 2 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Updated 6 years ago