ICLR 2026PastAgentsSafety & alignment
ICLR 2026 Workshop on Lifelong Agents: Learning, Aligning, Evolving
LLA 2026
- Submission deadline
- Feb 16, 2026, 23:59 UTCOpenReview-synced 2026-02-16 23:59 UTC (as of 2026-06-23) — extensions on OpenReview are applied automatically; verify on the website.
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (104)
Fetched from OpenReview (v2) on 2026-06-10.
AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel Optimization
ACON: Optimizing Context Compression for Long-horizon LLM Agents
Actor-Curator: A Scalable RL Post-training Framework with Co-adaptive Curricula
Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning
Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning
AgentGym-RL: An Open-Source Framework to Train LLM Agents for Long-Horizon Decision Making via Multi-Turn RL
Agentic Cognitive Profiling: Realigning Automated Alzheimer’s Disease Detection with Clinical Construct Validity
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
AIF-GEN: Open-Source Platform and Synthetic Dataset Suite for Reinforcement Learning on Large Language Models
Aligning LLMs Toward Multi-Turn Conversational Outcomes Using Iterative RLHF
Alignment Propagation: Spreading Cooperative Behaviors in Multi-Agent Systems through Seed Agents
AlphaApollo: A System for Deep Agentic Reasoning
Asymmetric Goal Drift in Coding Agents Under Value Conflict
Benchmarking Continual Agent Memory for Online Learning, Transfer, and Forgetting
Beyond Reward Maximization: Evaluating the Diversity of Trajectories in Reinforcement Learning with Temporal Vendi Score
BEYOND SYNTAX: ACTION SEMANTICS LEARNING FOR APP AGENTS
BioProAgent: Neuro-Symbolic Grounding for Constrained Scientific Planning
BrowseConf: Confidence-Guided Test-Time Scaling for Web Agents
Can We Predict Before Executing Machine Learning Agents?
CAP: A Scalable Benchmark for Evaluating Cross-Site Browser Agents with Complex Actions and Perception
CF-Router: Closed-Form Solution for Expert Selection in Multimodal Agent Lifelong Learning
CoDaPO: Confidence and Difficulty-Adaptive Policy Optimization for LLM Reasoning
Cold-Start Personalization via Training-Free Priors from Structured World Models
Constructive Specification for Plug-and-Play Learnware Agents
Continuum: Efficient and Robust Multi-Turn LLM Agent Scheduling with KV Cache Time-to-Live
CUA-Suite: Massive Human-annotated Video Demonstrations for Computer-Use Agents
DéjàQ: Open-Ended Evolution of Diverse, Learnable and Verifiable Problems
DETACH: Cross-domain Learning for Long-Horizon Tasks via Mixture of Disentangled Experts
DomusMind: A Benchmark for Evaluating Lifelong Smart Home Agents Under Drift
DRPG (Decompose, Retrieve, Plan, Generate): An Agentic Framework for Academic Rebuttal
DSGym: A Standardized and Holistic Framework for Advancing Data Science Agents
Efficient Tree-Structured Deep Research with Adaptive Resource Allocation
Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks
ENACT: Evaluating Embodied Cognition with World Modeling of Egocentric Interaction
EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings
EvoTac: A Self-Evolving LLM Agent for Eliciting Reusable Tacit Negotiation Heuristics from Terminal Outcomes
ExecTune: Effective Steering of Black-Box LLMs with Guide Models
Expanding the Capabilities of Reinforcement Learning via Text Feedback
Experiential Reinforcement Learning
Federated Agent Reinforcement Learning
FocusAgent: Simple Yet Effective Ways Of Trimming The Large Context of Web Agents
From Word to World: Can Large Language Models be Implicit Text-based World Models?
GASP: Guided Asymmetric Self-Play For Coding LLMs
GenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators
Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control
Group-Evolving Agents: Open-Ended Self-Improvement via Experience Sharing
Hierarchical Agenda Reasoning for Strategic Multi-Turn Dialogue Agents
Human-Guided Harm Recovery for Computer Use Agents
InfoPO: Information-Driven Policy Optimization for User-Centric Agents
Inherited Goal Drift: Contextual Pressure Can Undermine Agentic Goals
Intrinsic Credit Assignment for Long Horizon Interaction
Learning Agent Routing From Early Experience
Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
Learning Physical Principles from Interaction: Self-Evolving Embodied Planning via Test-Time Memory
Learning to Evolve: Scaling Open-Ended Discovery with Relative-Progress RL
Learning to Self-Evolve
Learning Transferable Skills in Action RPGs via Directed Skill Graphs and Selective Adaptation
Learning What to Learn: Curriculum Curation for Test-Time Agent Learning
LHAW: Controllable Underspecification for Long-Horizon Tasks
Lifelong Contextual Safety Alignment at Test Time for Multi-Modal LLMs
Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation
MAGE: Meta-Reinforcement Learning for Language Agents toward Strategic Exploration and Exploitation
Mem$^2$Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillation
MemoryCD: Benchmarking Long-Context User Memory of LLM Agents for Lifelong Cross-Domain Personalization
MindZero: Learning Online Mental Reasoning With Zero Annotations
MobileMem: Evaluating Long-Horizon Memory for Language Agents in Real-World Mobile Environments
Narrow Fine-Tuning Erodes Safety Alignment in Vision-Language Agents
Navigating the Cost-Performance Pareto Frontier of Test-Time LLM Agent Adaptation
Not All Clients Are Equal: Collaborative Model Personalization on Heterogeneous Multi-Modal Clients
Noticing the Watcher: LLM Agents Can Infer CoT Monitoring from Blocking Feedback
OceanGym: Evaluating Language-Grounded Embodied Agents in Underwater Environments
On Group Relative Policy Optimization Collapse in Agent Search: The Lazy Likelihood-Displacement
On Path to Multimodal Historical Reasoning: HistBench and HistAgent
One Model, Many Goals: Meta-Learning Preference-Conditioned Alignment for Lifelong LLM Agents
PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution
Paying Less Generalization Tax: A Cross-Domain Generalization Study of RL Training for LLM Agents
PEARL: Self-Evolving Assistant for Time Management
PlugMem: A Task-Agnostic Plugin Memory Module for LLM Agents
PolicyBank: Evolving Policy Understanding For Evolving Agents
Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization
ReCreate: Reasoning and Creating Domain Agents Driven by Experience
ReMix: Reinforcement Routing for Mixtures of LoRAs in LLM Finetuning
Residual Off-Policy RL for Finetuning Behavior Cloning Policies
ScenDroid: A Scenario-Level Benchmark for Long-Horizon, Time-Evolving GUI Agents
Self-Distillation Enables Continual Learning
Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
Self-Questioning Language Models
SimpleMem: Efficient Lifelong Memory for LLM Agents
SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
Streaming Memory Benchmark: Stage-level Diagnosis with Evidence Dependency Control
SWITCH: Benchmarking Interaction and Verification on Real-World Interfaces in Lifelong Embodied Agents
The Agent's First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios
The Hidden Costs of Domain Fine-Tuning: Pii-Bearing Data Degrades Safety and Increases Leakage
TSR: Trajectory‑Search Rollouts for Multi‑Turn RL of LLM Agents
TTCS: Test-Time Curriculum Synthesis for Self-Evolving
Understanding Knowledge Acquisition and Release in Language Models via Circuits
Understanding Reasoning Collapse in Multi-Turn Agent Reinforcement Learning
Universe Routing: Why Self-Evolving Agents Need Epistemic Control
Verifying the Verifiers: Failure Attribution for Agentic Benchmark Diagnostics and Training Data Curation
VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
Weasel: Out-of-Domain Generalization for Web Agents via Importance-Diversity Data Selection
When Drafts Evolve: Speculative Decoding Meets Online Learning
Which Memory Operation Drives Recovery? A Factorial Study of Retrieve, Write, and Manage Adaptation under Domain Shift
Zombie Agents: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injections