v232: Proceedings of CoLLAs 2023

2026-06-10 · Source: Proceedings of Machine Learning Research · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems · Depth: Expert, medium

Summary

The 2nd Conference on Lifelong Learning Agents (CoLLA 2023), held August 22-25, 2023, at McGill University, Montréal, presented diverse research on AI systems capable of continuous learning. Papers addressed critical challenges like mitigating "catastrophic forgetting" in continual learning and deep reinforcement learning, alongside enhancing sample efficiency and robustness in dynamic environments. Key contributions included novel approaches in "meta-learning" for few-shot scenarios, "multi-agent reinforcement learning," and "domain adaptation," often leveraging techniques such as replay buffers, episodic memory, and large language models. The conference also explored privacy-preserving algorithms, hierarchical representation learning, and the application of vision-language models and transformers for various tasks, pushing the boundaries of adaptive and autonomous AI.

Key takeaway

The 2nd Conference on Lifelong Learning Agents presents cutting-edge research in enabling AI systems to continuously learn and adapt from dynamic data streams. Key contributions tackle catastrophic forgetting, few-shot adaptation, and non-stationarity, employing novel techniques in reinforcement learning, meta-learning, and multi-agent systems. This volume offers essential insights and practical algorithms for AI researchers and engineers developing robust, scalable, and privacy-aware adaptive intelligence.

Topics

• Continual Learning
• Reinforcement Learning
• Meta-Learning
• Catastrophic Forgetting
• Domain Adaptation

Best for: Research Scientist, AI Scientist, Machine Learning Engineer, Robotics Engineer

Related on AIssential

• v274: Proceedings of CoLLAs 2024 — The conference proceedings highlight diverse strategies to enable AI models to continuously learn and adapt without forgetting.
• v199: Proceedings of CoLLAs 2022 — Volume 199 presents the proceedings of "The 1st Conference on Lifelong Learning Agents," held from August 22-24, 2022, at McGill University in Montréal, Québec, Canada.
• Lifecycle-Aware Federated Continual Learning in Mobile Autonomous Systems — A dual-timescale FCL framework improves autonomous system adaptation by preventing immediate forgetting and recovering from long-term drift.
• Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments — Continual learning benchmarks must isolate online improvement from static model capabilities using expert-validated, latent-structure tasks.
• Forgetting is Not Erasure: Recovering Latent Knowledge via Transport Keys — Catastrophic forgetting often reflects interface drift, not erasure, allowing latent knowledge recovery via alignment.
• Learning, Fast and Slow: Towards LLMs That Adapt Continually — Combining slow parameter updates with fast in-context learning improves LLM adaptation and reduces forgetting.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Proceedings of Machine Learning Research.