balrog/language-agent
Language-agent rollout
Run an environment through structured language observations and actions.
Upstream publisher BALROG AIbalrog-ai/BALROG
A shared evaluation framework for language and visual agents across long-horizon reinforcement-learning game environments.
WHAT THIS PROJECT MEASURES
BALROG is strategically useful as an adapter rather than a single game. One integration can expose several established environments through consistent model, rollout, and scoring machinery.
The import must preserve environment identity, observation modality, action interface, provider settings, and benchmark-specific rewards so unlike runs are never merged into one leaderboard.
EXECUTION CONTRACT
Requires a multi-environment sandbox adapter, parallel evaluation, modality-aware traces, and reward preservation.
TRUNCHBULL AVAILABILITY
Not yet imported
Not yet imported. Trunchbull should implement BALROG as shared simulation infrastructure, not duplicate each included environment.
2 CASES
balrog/language-agent
Run an environment through structured language observations and actions.
balrog/visual-agent
Run the same environment class through pixel observations.
1 REQUESTED TOOLS
Normalizes lifecycle, actions, observations, and rewards across environments.
Required
MACHINE-READABLE PROVENANCE
{
"name": "BALROG",
"catalogOwner": null,
"source": {
"url": "https://github.com/balrog-ai/BALROG",
"version": "Upstream framework",
"commit": "Upstream head not pinned",
"license": "Review required"
},
"port": null,
"release": {
"digest": "Not compiled",
"lane": "sandbox",
"sandboxRequired": true
},
"cases": [
"balrog/language-agent",
"balrog/visual-agent"
],
"tools": [
"BALROG adapter"
]
}BUILD ON THIS PROJECT