PRACTICE: From Experience to Expertise in Self-Evolving Embodied Agents
cs.LG
Submitted: 2026-08-31
Updated: 2026-08-31
Code: https://github.com/langchainai/langmem
Project page: https://baai-agents.github.io/PRACTICE
Terminology
Sources
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
- Qwen3-VL Technical Report
- ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
- MemCompiler: Compile, Don't Inject -- State-Conditioned Memory for Embodied Agents
- MemCtrl: Using MLLMs as Active Memory Controllers on Embodied Agents
- Distilling the Knowledge in a Neural Network
- EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents
- Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
- RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning
- Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
- SkillOS: Learning Skill Curation for Self-Evolving Agents
- ELITE: Experiential Learning and Intent-Aware Transfer for Self-improving Embodied Agents
- Reinforced Reasoning for Embodied Planning
- AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
- Being-0: A Humanoid Robotic Agent with Vision-Language Models and Modular Skills
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