ICLR: International Conference on Learning Representations

O ICLR é uma das principais conferências sobre aprendizado profundo e aprendizado de representações. Apresenta pesquisas significativas relacionadas à robótica, incluindo aprendizado por reforço para controle de robôs, transferência de simulação para realidade, aprendizado de robôs a partir de demonstrações e IA incorporada. A conferência reúne pesquisadores de aprendizado de máquina, IA e robótica para avançar o estado da arte em representações aprendidas e suas aplicações.

Organizador: ICLR
Fundada: 2013
Frequência: Annual
Costuma acontecer em: April-May
Duração: 5 days
Público habitual: 5000+
Público: Researchers, Engineers, Students
Temas: deep learning, representation learning, reinforcement learning, robot learning, sim-to-real, embodied AI, neural networks, generative models
Tags: machine-learning, deep-learning, robotics, ai, reinforcement-learning

Próxima edição

ICLR 2027, 26 – 30 de abr. de 2027, San Francisco, CA, USA

Palestrantes principais

Maja Matarić (University of Southern California; Google DeepMind): The Challenges of Human-Centered AI and Robotics: What We Want, Need, and are Getting From Human-Machine Interaction
Max Welling (University of Amsterdam; CuspAI): From Physics to AI to Materials; A Journey from Foundations to Impact
Percy Liang (Stanford University): Marin: Open Development of Frontier AI
Katie Bouman (California Institute of Technology): Images of the Hidden Universe
Karen Adolph (New York University): Learning while developing: How infants acquire intelligent behavior
Pablo Arbeláez (Universidad de los Andes (CinfonIA)): Artificial Intelligence for Open Science

Workshops

ICLR 2026 Workshop on AI with Recursive Self-Improvement, Sunday April 26: IA com autoaperfeiçoamento recursivo em modelos omni, agentes multimodais, robótica e descoberta científica — conectando pós-treinamento, busca evolutiva e agentes auto-evolutivos.
ICLR 2026 Workshop on Lifelong Agents: Learning, Aligning, Evolving, Sunday April 26: Conectando aprendizado contínuo, aprendizado por reforço e alinhamento para desenvolver agentes de IA que aprendem continuamente, alinham-se com preferências humanas e evoluem com responsabilidade.
ICLR 2026 Workshop on Memory for LLM-Based Agentic Systems (MemAgents), Monday April 27: Projetando a camada de memória para sistemas agênticos — memória episódica, semântica, de trabalho e paramétrica, pipelines de recuperação e benchmarks de agentes vitalícios em robótica, automação web e manutenção de software.
ICLR 2026 the 2nd Workshop on World Models: Understanding, Modelling and Scaling, Monday April 27: Frameworks escaláveis que unificam modelagem generativa, tomada de decisão sequencial, aprendizado multimodal e raciocínio causal — com estudos de caso em robótica e post-mortems de falhas focados em reprodutibilidade.

Artigos

Orthogonal Gradient Projection for Continual LLM Unlearning: Juan Belieni, Ana Carolina Erthal, Eliezer de Souza da Silva, Diego Mesquita · ICLR 2026 Workshop RSI ShortPaper · 2026
Just Enough Learning: GRPO-Guided Controllers for Hyperparameter Sweeps: Justin H Lee, Henry Ndubuaku · ICLR 2026 Workshop RSI Poster · 2026
Build, Judge, Optimize: A Blueprint for Continuous Improvement of Multi-Agent Consumer Assistants: Alejandro Breen Herrera, Aayush Sheth, Steven Guanxing Xu, Zhucheng Zhan, Charles Wright, Hong Tai Wei, Marcus Yearwood, Sudeep Das, Danny Nightingale, Meg Watson, Charles Pollnow V · ICLR 2026 Workshop RSI ShortPaper · 2026
Verifying the Verifiers: Failure Attribution for Agentic Benchmark Diagnostics and Training Data Curation: Jesse Hu, Pratyush Shukla, Ke Huang · ICLR 2026 Workshop RSI Poster · 2026
Self-Adapting Agents for Automating Research Coding Workflows: Balaji Dinesh Gangireddi, Aniketh Garikaparthi, Manasi Patwardhan, Arman Cohan · ICLR 2026 Workshop RSI Poster · 2026
Self-Improvement via Fast Tree-search: Xinghong Fu, Aravinth Kulanthaivelu, Yutaro Yamada · ICLR 2026 Workshop RSI Poster · 2026
Structure Enables Effective Self-Localization of Errors in LLMs: Ankur Samanta, Akshayaa Magesh, Ayush Jain, Kavosh Asadi, Youliang Yu, Daniel Jiang, Boris Vidolov, Kaveh Hassani, Paul Sajda, Jalaj Bhandari, Yonathan Efroni · ICLR 2026 Workshop RSI Poster · 2026
SAHOO: Safeguarded Alignment for High-Order Optimization Objectives in Recursive Self-Improvement: Subramanyam Sahoo, Aman Chadha, Vinija Jain, Divya Chaudhary · ICLR 2026 Workshop RSI Poster · 2026
Adaptive Meta-Curriculum for Test-Time Self-Improvement: Kaustubh S. Bukkapatnam, Aarav Lala, Laksh Patel · ICLR 2026 Workshop RSI Spotlight · 2026
GASP: Guided Asymmetric Self-Play For Coding LLMs: Swadesh Jana, Cansu Sancaktar, Tomáš Daniš, Georg Martius, Antonio Orvieto, Pavel Kolev · ICLR 2026 Workshop RSI Spotlight · 2026
Interestingness as an Inductive Heuristic for Future Compression Progress: Vincent Herrmann, Jürgen Schmidhuber · ICLR 2026 Workshop RSI Spotlight · 2026
In-Context Adaptation: Yongqiang Chen, Chenxi Liu, Qingyi Guo, Bo Han, Kun Zhang · ICLR 2026 Workshop RSI Poster · 2026
Inference-Time Scaling in Diffusion Models through Iterative Partial Refinement: Taegu Kang, Jaesik Yoon, Sungjin Ahn · ICLR 2026 Workshop RSI Poster · 2026
Anchored Self-Play for Code Repair: Caroline Choi, Zeyneb N. Kaya, Shirley Wu, Tengyu Ma, Tatsunori Hashimoto, Ludwig Schmidt · ICLR 2026 Workshop RSI Spotlight · 2026
Refining Large Language Models with Self-Generated Data Through Iterative Training: Xiao Hu, Muxi Diao, Jizhi Zhang, Xin Chen, Xianyuan Zhan · ICLR 2026 Workshop RSI Poster · 2026
Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning: Seijin Kobayashi, Yanick Schimpf, Maximilian Schlegel, Angelika Steger, Maciej Wolczyk, Johannes von Oswald, Nino Scherrer, Kaitlin Maile, Guillaume Lajoie, Blake Aaron Richards, Rif A. Saurous, James Manyika, Blaise Aguera y Arcas, Alexander Meulemans, Joao Sacramento · ICLR 2026 Workshop RSI…
Generative Recursive Reasoning Models: Junyeob Baek, Mingyu Jo, Minsu Kim, Yoshua Bengio, Sungjin Ahn · ICLR 2026 Workshop RSI Poster · 2026
Self-Evolving Language Models through Co-evolved Discriminative Rubrics: Shuyue Stella Li, Rui Xin, Yike Wang, Teng Xiao, Rulin Shao, Zoey Hao, Melanie Sclar, Faeze Brahman, Pang Wei Koh, Yulia Tsvetkov · ICLR 2026 Workshop RSI Spotlight · 2026
TamperBench: A Systematic Framework to Stress-Test LLM Safety Under Fine-Tuning and Tampering: Saad Hossain, Tom Tseng, Punya Syon Pandey, Samanvay Vajpayee, Matthew Kowal, Nayeema Nonta, Samuel Simko, Stephen Casper, Zhijing Jin, Kellin Pelrine, Sirisha Rambhatla · ICLR 2026 Workshop RSI ShortPaper · 2026
Test-Time Self-Distillation: Jonas Hübotter, Frederike Lübeck, Lejs Deen Behric, Anton Baumann, Marco Bagatella, Daniel Marta, Ido Hakimi, Idan Shenfeld, Thomas Kleine Buening, Carlos Guestrin, Andreas Krause · ICLR 2026 Workshop RSI Spotlight · 2026
CircuitBuilder: From Polynomials to Circuits via Reinforcement Learning: Weikun Zhang, Rohan Pandey, Bhaumik Mehta, Kaijie Jin, Naomi Morato, Archit Ganapule, Michael Ruofan Zeng, Jarod Alper · ICLR 2026 Workshop RSI Poster · 2026
Feedback Descent: Open-Ended Text Optimization via Pairwise Comparison: Yoonho Lee, Joseph Boen, Chelsea Finn · ICLR 2026 Workshop RSI Poster · 2026
MimicAgent: Learning Quadruped Skills via Text-to-Trajectory Generation: Narayanan Palghat Parameswaran, Lucky Kant Nayak, Neehar Peri, Deva Ramanan · ICLR 2026 Workshop RSI Poster · 2026
Duel-Evolve: Reward-Free Test-Time Scaling via LLM Self-Preferences: Sweta Karlekar, Carolina Zheng, Nicolas Beltran-Velez, Magnus Saebo, Shuyang Yu, Michal Kucer, John Bowlan, David Blei · ICLR 2026 Workshop RSI Poster · 2026
Self-Improving VLM Judges Without Human Annotations: Inna Wanyin Lin, Yushi Hu, Shuyue Stella Li, Scott Geng, Pang Wei Koh, Luke Zettlemoyer, Tim Althoff, Marjan Ghazvininejad · ICLR 2026 Workshop RSI Poster · 2026
Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation: Peter Baile Chen, Yi Zhang, Dan Roth, Samuel Madden, Jacob Andreas, Mike Cafarella · ICLR 2026 Workshop RSI Poster · 2026
VLAW: Iterative Co-Improvement of Vision-Language-Action Policy and World Model: Yanjiang Guo, Tony Lee, Lucy Xiaoyang Shi, Jianyu Chen, Percy Liang, Chelsea Finn · ICLR 2026 Workshop RSI Spotlight · 2026
Self-Improving Vision-Language-Action Models with Data Generation via Residual RL: Wenli Xiao, Haotian Lin, Andy Peng, Haoru Xue, Tairan He, Zhengyi Luo, Yuqi Xie, Fengyuan Hu, Linxi Fan, Guanya Shi, Yuke Zhu · ICLR 2026 Workshop RSI Spotlight · 2026
Federation over Text: Dixi Yao, Tahseen Rabbani, Tian Li · ICLR 2026 Workshop RSI ShortPaper · 2026
Soft Mellowmax Monte Carlo Planning: Danilo Vucetic, Gauthier Gidel · ICLR 2026 Workshop RSI Poster · 2026
SAGE: Self-play Adversarial Games Enhance Large Language Model Reasoning Capabilities: Saraswathy Amjith, Michael X. Wang, Jayson Lynch, Hans Gundlach, Neil Thompson · ICLR 2026 Workshop RSI Poster · 2026
Test-Time Meta-Adaptation with Self-Synthesis: Zeyneb N. Kaya, Nick Rui · ICLR 2026 Workshop RSI ShortPaper · 2026
Residual Off-Policy RL for Finetuning Behavior Cloning Policies: Lars Ankile, Zhenyu Jiang, Rocky Duan, Guanya Shi, Pieter Abbeel, Anusha Nagabandi · ICLR 2026 Workshop RSI Poster · 2026
MAPPA: Scaling Multiagent Systems with Process Rewards: Ed Li, Junyu Ren, Cat Yan · ICLR 2026 Workshop RSI Poster · 2026
Depth vs Recursion: Outperforming Transformers in Jigsaw Reconstruction: Artemii Miasoedov, Timofey Brayko, Rustam A. Lukmanov · ICLR 2026 Workshop RSI ShortPaper · 2026
Vision-Guided Iterative Refinement for Frontend Code Generation: Hannah Sansford, Derek H.C. Law, Wei Liu, Abhishek Tripathi, Niresh Agarwal, Gerrit J.J. Van den Burg · ICLR 2026 Workshop RSI Poster · 2026
CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpad: Yongqiang Chen, Chenxi Liu, Zhenhao Chen, Tongliang Liu, Bo Han, Kun Zhang · ICLR 2026 Workshop RSI Spotlight · 2026
Dynamic Noise Preference Optimization: Self-Improvement of Large Language Models with Self-Synthetic Data: Haoyan Yang, Le Huy Khiem, Ting Hua, Shangqian Gao, Binfeng Xu, Zheng Tang, Jie Xu, Nitesh V. Chawla, Hongxia Jin, Vijay Srinivasan · ICLR 2026 Workshop RSI Poster · 2026
Adaptive Decoding via Test-Time Policy Learning for Self-Improving Generation: Asmita Bhardwaj, Yuya Jeremy Ong, Eelaaf Zahid, Basel Shbita · ICLR 2026 Workshop RSI Poster · 2026
Cross-Family Speculative Prefill: Training-Free Long-Context Compression with Small Draft Models: Shubhangi Upasani, Guangtao Wang, Ravi Shanker Raju, Bo Li, Urmish Thakker, Mengmeng Ji, John Long, Chen Wu · ICLR 2026 Workshop RSI ShortPaper · 2026
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula: Chenruo Liu, Yijun Dong, Yiqiu Shen, Qi Lei · ICLR 2026 Workshop RSI Poster · 2026
PostTrainBench: Can LLM Agents Automate LLM Post-Training?: Ben Rank, Hardik Bhatnagar, Ameya Prabhu, Shira Eisenberg, Karina Nguyen, Matthias Bethge, Maksym Andriushchenko · ICLR 2026 Workshop RSI Oral · 2026
Can Current Language Models Close the Discovery to Application Loop?: Zhou Ziheng, Huacong Tang, Jinyuan Zhang, Haowei Lin, Bangcheng Yang, Qian Long, Fang Sun, Yizhou Sun, Yitao Liang, Ying Nian Wu, Demetri Terzopoulos, Xiaofeng Gao · ICLR 2026 Workshop RSI Spotlight · 2026
Language-Guided Expertise Evolution for Protein Optimization: Xingyue Liu, Zijie Xing, Runze Wang, Luoming Hu, Yanming Shen · ICLR 2026 Workshop RSI Poster · 2026
Improved Iterative Refinement for Chart-to-Code Generation via Structured Instruction: Chengzhi Xu, Yuyang Wang, Lai Wei, Weiran Huang, Lichao Sun · ICLR 2026 Workshop RSI Poster · 2026
Learning to Evolve: Scaling Open-Ended Discovery with Relative-Progress RL: Xuan Li, Zhanke Zhou, Zongze Li, Jiangchao Yao, Bo Han · ICLR 2026 Workshop RSI Poster · 2026
Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback: Sein Kim, Sangwu Park, HongSeok Kang, Wonjoong Kim, Jimin Seo, Yeonjun In, Kanghoon Yoon, Chanyoung Park · ICLR 2026 Workshop RSI Poster · 2026
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models: Qizheng Zhang, Changran Hu, Shubhangi Upasani, Boyuan Ma, Fenglu Hong, Vamsidhar Kamanuru, Jay Rainton, Chen Wu, Mengmeng Ji, Hanchen Li, Urmish Thakker, James Zou, Kunle Olukotun · ICLR 2026 Workshop RSI Poster · 2026
ACE: Self-Evolving LLM Coding Framework Adversarial Unit Test Generation and Preference Optimization: Yixu Huang, Xinglei Yu, zhongyu wei · ICLR 2026 Workshop RSI Spotlight · 2026
Discover the distinguishing and effective reasoning patterns among LLMs via an LLM: Yida Chen, Yuning Mao, Xianjun Yang, Suyu Ge, Shengjie Bi, Lijuan Liu, Saghar Hosseini, Liang Tan, Yixin Nie, Shaoliang Nie · ICLR 2026 Workshop RSI Poster · 2026

Open Source Robotics

ICLR: International Conference on Learning Representations

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