Festivus

policy

multiagent-predator-prey-selfplay-RL

Satyadev08 · PyTorch

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Overview

Name
multiagent-predator-prey-selfplay-RL
Author
Satyadev08
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
MAPPO vs IPPO in adversarial multi-agent RL — alternating, population, and league self-play in a custom predator-prey gridworld

Spaces

Action space
other · 0-dim · 0Hz
Observation space
  • type: other

Links

HuggingFace repo
null
Paper (arXiv)
null

Compatible robots

3+17 mentioned but not in catalog yet
SpotBoston DynamicsT1Booster RoboticsApolloApptronik

Compatible environments

0

No environments list multiagent-predator-prey-selfplay-RL yet.

Datasets that reference this policy

0

No datasets reference multiagent-predator-prey-selfplay-RL yet.