Alternatives and similar repositories for Explorer

Users that are interested in Explorer are comparing it to the libraries listed below

• hkust-nlp / GUIMid
  ☆21Updated 8 months ago
• OSU-NLP-Group / WebDreamer
  [TMLR'25] "Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents"
  ☆93Updated 3 months ago
• JIA-Lab-research / ARPO
  Official Implementation of ARPO: End-to-End Policy Optimization for GUI Agents with Experience Replay
  ☆142Updated 7 months ago
• jinzhuoran / RAG-RewardBench
  RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
  ☆16Updated last year
• sail-sg / feedback-conditional-policy
  Code for "Language Models Can Learn from Verbal Feedback Without Scalar Rewards"
  ☆55Updated 2 weeks ago
• test-time-interaction / TTI
  ☆70Updated 7 months ago
• rhyang2021 / ARIA
  Source code for our paper: "ARIA: Training Language Agents with Intention-Driven Reward Aggregation".
  ☆25Updated 5 months ago
• OSU-NLP-Group / Online-Mind2Web
  An Illusion of Progress? Assessing the Current State of Web Agents
  ☆139Updated 2 weeks ago
• rookie-joe / AutoPSV
  ☆51Updated last year
• multimodal-art-projection / TreePO
  ☆57Updated last week
• Trae1ounG / BuPO
  [arxiv: 2512.19673] Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies
  ☆55Updated 2 weeks ago
• Yifan-Song793 / ETO
  Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)
  ☆160Updated last year
• OSU-NLP-Group / Mind2Web-2
  [NeurIPS'25 D&B] Mind2Web-2 Benchmark: Evaluating Agentic Search with Agent-as-a-Judge
  ☆97Updated last month
• DualityRL / multi-attempt
  ☆19Updated 10 months ago
• McGill-NLP / agent-reward-bench
  AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories
  ☆40Updated 5 months ago
• sotopia-lab / sotopia-pi
  Sotopia-π: Interactive Learning of Socially Intelligent Language Agents (ACL 2024)
  ☆81Updated last year
• weizhepei / WebAgent-R1
  [EMNLP 2025] WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
  ☆68Updated 2 months ago
• xufangzhi / Genius
  [ACL 2025] A Generalizable and Purely Unsupervised Self-Training Framework
  ☆71Updated 7 months ago
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆120Updated 8 months ago
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆86Updated 9 months ago
• ying-hui-he / Hi-ToM_dataset
  ☆16Updated 3 months ago
• Berkeley-NLP / Agent-Eval-Refine
  Code for Paper: Autonomous Evaluation and Refinement of Digital Agents [COLM 2024]
  ☆147Updated last year
• Gabesarch / ICAL
  ☆51Updated 8 months ago
• hkust-nlp / mstar
  [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning
  ☆70Updated 6 months ago
• MingyuJ666 / The-Impact-of-Reasoning-Step-Length-on-Large-Language-Models
  [ACL'24] Chain of Thought (CoT) is significant in improving the reasoning abilities of large language models (LLMs). However, the correla…
  ☆47Updated 8 months ago
• lichengliu03 / unary-feedback
  ☆42Updated 5 months ago
• WeiminXiong / IPR
  Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)
  ☆65Updated last year
• bobxwu / learning-from-rewards-llm-papers
  A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward model…
  ☆60Updated 7 months ago
• hkust-nlp / B-STaR
  B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
  ☆85Updated 8 months ago
• hkust-nlp / RL-Verifier-Robustness
  From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning.
  ☆24Updated 3 months ago