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Aligning Text and Embodied Environments for Interactive Learning Mohit Shridhar, Xingdi (Eric) Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht ICLR 2021
We introduce Enigmata, the first comprehensive suite tailored for improving LLMs with puzzle reasoning skills, which integrates seamlessly with reinforcement learning using verifiable rule-based rewards.
This repository contains the official implementation for the paper "AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models".
We introduce ReCall, a novel framework that trains LLMs to Reason with Tool Call via reinforcement learning—without requiring any supervised data on tool use trajectories or reasoning steps. ReCall empowers LLMs to agentically use and combine arbitrary tools like OpenAI o3, offering an…
The main features of agent-rl/recall are: Reasoning Environments.
Projects with overlapping indexed features include: alfworld/alfworld — Aligning Text and Embodied Environments for Interactive Learning Mohit Shridhar, Xingdi (Eric) Yuan, Marc-Alexandre… allenai/scienceworld — ScienceWorld. bytedtsinghua-sia/enigmata — We introduce Enigmata, the first comprehensive suite tailored for improving LLMs with puzzle reasoning skills, which… chenllliang/g1 — G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning. facebookresearch/mlgym — MLGym A New Framework and Benchmark for Advancing AI Research Agents. 8188zq/autologi — This repository contains the official implementation for the paper "AutoLogi: Automated Generation of Logic Puzzles…
