gym-multigrid
Lightweight multi-agent gridworld Gym environment (by ArnaudFickinger)
Emergent-Multiagent-Strategies
Emergence of complex strategies through multiagent competition (by Ankur-Deka)
gym-multigrid | Emergent-Multiagent-Strategies | |
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1 | 1 | |
184 | 38 | |
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0.0 | 0.0 | |
8 months ago | over 1 year ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gym-multigrid
Posts with mentions or reviews of gym-multigrid.
We have used some of these posts to build our list of alternatives
and similar projects.
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INVALID_ARGUMENT: Received a label value of 8 which is outside the valid range of [0, 8). Label values: 8
So i am training an IPPO (Independent Proximal Policy Optimization) on the environment gym-multigrid, on the collect game (https://github.com/ArnaudFickinger/gym-multigrid). Actually i have 3 agents, each of them has its own actor and critic, and the actor has the following structure:
Emergent-Multiagent-Strategies
Posts with mentions or reviews of Emergent-Multiagent-Strategies.
We have used some of these posts to build our list of alternatives
and similar projects.
-
PPO with Transformer or Attention Mechanism
Not stable_baselines but I have an implementation of Attention + PPO in a multi-agent setting: https://github.com/Ankur-Deka/Emergent-Multiagent-Strategies
What are some alternatives?
When comparing gym-multigrid and Emergent-Multiagent-Strategies you can also consider the following projects:
agents-aea - A framework for autonomous economic agent (AEA) development
IC3Net - Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
PettingZoo - An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Competitive-Programming
DI-engine - OpenDILab Decision AI Engine
pumpkin - The MAS Demonic Surveillance Platform. 🎃 [Moved to: https://github.com/scandale-project/pumpkin]
pymarl2 - Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
Mava - 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
gym-multigrid vs agents-aea
Emergent-Multiagent-Strategies vs IC3Net
gym-multigrid vs PettingZoo
Emergent-Multiagent-Strategies vs Competitive-Programming
Emergent-Multiagent-Strategies vs DI-engine
Emergent-Multiagent-Strategies vs pumpkin
Emergent-Multiagent-Strategies vs pymarl2
Emergent-Multiagent-Strategies vs Mava