Full Paper
Submissions of up to 8 pages in the NeurIPS format, not including references and appendices.
Machine Learning/CORE Unranked
RAAAI NeurIPS 2026
Workshop on Resource-Aware Agentic AI
The NeurIPS 2026 Workshop on Resource-Aware Agentic AI focuses on developing AI agents that are both effective and efficient, addressing the hidden resource costs—such as compute, energy, memory, and latency—associated with current agent systems. The workshop brings together researchers and industry experts to explore methods for integrating resource awareness into agent design, from training and planning to deployment.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Research areas in scope
01
Topics of Interest
Resource-aware planning and reasoningModel compression for agentsResource-aware multi-agent orchestrationResource-aware training and post-training of agentsResource-aware agent harnessOn-device agent deploymentMemory and context management for resource-aware agentsBenchmarks, metrics, and evaluation for agent resource consumptionEconomic and accessibility implications of resource-aware agentsIndustry applications of efficient agent deployment
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Work that has already been published is not allowed.
- Authors must maintain up-to-date OpenReview profiles to avoid desk rejection.
- Reviewers and organizers must declare conflicts of interest per NeurIPS policy.
- Organizers and their students cannot submit or review papers from their own institution.
- Accepted papers are non-archival and will be posted only on the workshop website.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026