M-Lin-DM / Multi-Agent-TransportersLinks
Training Agents in a cooperative multi-agent deep reinforcement learning setting to transport objects across a space
☆15Updated 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☆27Updated 5 years ago
- Collection of OpenAI parametrized action-space environments.☆65Updated 5 months ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆78Updated 4 years ago
- Implementation of DyMA-CL, MARL algorithm☆28Updated 5 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 6 years ago
- Combining Evolutionary Algorithms and deep Reinforcement Learning☆17Updated 7 years ago
- ☆17Updated 5 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆51Updated 3 months ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 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 9 months ago
- Emergence of complex strategies through multiagent competition☆44Updated 2 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆48Updated last year
- The Starcraft Multi-Agent challenge lite☆41Updated 11 months ago
- MADDPG in Ray/RLlib☆23Updated 5 years ago
- Extending rllab to event-driven multiagent environments☆15Updated 6 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆39Updated 2 years ago
- ☆75Updated last year
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆48Updated last year
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆104Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 3 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆53Updated 4 years ago
- DecentralizedLearning☆25Updated 2 years ago
- Solving POMDP using Recurrent networks☆90Updated 5 years ago
- ☆43Updated 4 years ago
- Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020☆54Updated last year
- A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.☆37Updated 6 years ago
- ☆28Updated 4 years ago
- implementation of "Evolution Strategies as a Scalable Alternative to Reinforcement Learning" OpenAI paper☆20Updated 4 years ago