LaMer

by mlbio-epfl · Agent Tool · ★ 31

About LaMer

Meta-RL Induces Exploration in Language Agents Yulun Jiang, Liangze Jiang, Damien Teney, Michael Moor, Maria Brbić This repo contains the source code of 🌊LaMer, a Meta-RL framework of training LLM agents to actively explore and adapt to the environment at test time (ICLR '26). Training To train the LLM Agent with LaMer: To train the LLM Agent with RL baselines: See the folder for more examples. Environment Please follow this note to install and test the agent environments. Acknowledgements This work is built upon verl, verl-agent, reflexion, [RAGEN](https://github.com/mll-lab-nu/RA

iclr2026large-language-modelsllm-agentreinforcement-learning

Quick Facts

Stars31
Forks3
LanguagePython
CategoryAgent Tool
Quality Score59.5699057193444/100
Open Issues1
Last Updated2026-02-01
Created2025-12-19
Platformspython
Est. Tokens~141k

Compatible Skills

These tools work well together with LaMer for enhanced workflows:

  • MetaClaw — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • SimplerLLM — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (54%)
  • LLM-Tools — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)
  • app-controller — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)
  • mxcp — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)

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Frequently Asked Questions

What is LaMer?

LaMer is [ICLR 2026] Meta-RL Induces Exploration in Language Agents. It is categorized as a Agent Tool with 31 GitHub stars.

What programming language is LaMer written in?

LaMer is primarily written in Python. It covers topics such as iclr2026, large-language-models, llm-agent.

How do I install or use LaMer?

You can find installation instructions and usage details in the LaMer GitHub repository at github.com/mlbio-epfl/LaMer. The project has 31 stars and 3 forks, indicating an active community.

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