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MCP 서버

Agentic RL: Credit Assignment and CLI Agents

space.hf.hoyant-su-agentic-rl/agentic-rl
과학 및 엔지니어링 검색 및 리서치 공개 · 연결 가능 MCP 2025-11-25

이 MCP로 할 수 있는 일

Searches and filters agentic reinforcement learning research, retrieves source evidence and BibTeX, and provides access to ShellOps benchmark tasks and datasets.

기능

도구

8 도구
Agentic_RL_dataset_overview
Inspect ShellOps and ShellOps-Pro task counts, train/test splits, task types, published schemas, source files, license and citation.
입력 스키마 
{'type': 'object', 'properties': {}}
Agentic_RL_fetch_evidence
Fetch a complete original evidence block by the evidence_id returned from search_evidence, including section anchor, version, equations, table cells, links, and attribution.
입력 스키마 
{'type': 'object', 'required': ['evidence_id'], 'properties': {'evidence_id': {'type': 'string', 'description': ''}}}
Agentic_RL_filter_methods
Filter agent RL credit-assignment methods by research conditions and return original section evidence and BibTeX. Discover accepted values with list_method_facets. Filters combine with AND; empty strings leave a facet unrestricted. Unknown critic status never matches no. Results use publication order without a relevance or quality ranking.
입력 스키마 
{'type': 'object', 'properties': {'credit_granularity': {'type': 'string', 'description': ''}, 'evaluation_setting': {'type': 'string', 'description': ''}, 'learned_value_critic': {'type': 'string', 'description': ''}, 'required_supervision': {'type': 'string', 'description': ''}}}
Agentic_RL_get_task
Inspect one published ShellOps or ShellOps-Pro task by its exact task_id and partition ('shellops' or 'shellops_pro'). Returns the complete instruction, actual reward specification, published reference answer/command, file-entry metadata, pinned parquet rows and workspace asset links. File content is available at the source links. No shell execution or solution verification is performed.
입력 스키마 
{'type': 'object', 'required': ['task_id', 'partition'], 'properties': {'task_id': {'type': 'string', 'description': ''}, 'partition': {'type': 'string', 'description': ''}}}
Agentic_RL_list_method_facets
List exact filter values for agent RL credit granularity, supervision, value critics and evaluation settings. Each value reports its source-supported method count.
입력 스키마 
{'type': 'object', 'properties': {}}
Agentic_RL_list_sources
List original papers and retrieval coverage. Discover source-linked comparisons of credit assignment, agent memory, selective observation and terminal benchmarks, with JSON, CSV and BibTeX links.
입력 스키마 
{'type': 'object', 'properties': {}}
Agentic_RL_search_evidence
Search original papers on agentic reinforcement learning, credit assignment and CLI agents. Use English keywords (AND), OR and quoted phrases. Return relevant passages, source citations, equations and table cells.
입력 스키마 
{'type': 'object', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'default': 5, 'description': ''}, 'query': {'type': 'string', 'description': ''}}}
Agentic_RL_search_tasks
Find real ShellOps CLI benchmark tasks by case-insensitive literal substring in the complete instruction, task ID or published task type. Empty query lists all tasks. Select partition 'all', 'shellops' or 'shellops_pro'; select published split 'all', 'train_src', 'train' or 'test'. Results are ordered by partition then task ID, with explicit pagination and no relevance scoring. The train subset is not double-counted.
입력 스키마 
{'type': 'object', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'default': 10, 'description': ''}, 'query': {'type': 'string', 'description': ''}, 'split': {'type': 'string', 'default': 'all', 'description': ''}, 'offset': {'type': 'integer', 'description': ''}, 'partition': {'type': 'string', 'default': 'all', 'description': ''}}}
기록

최근 도구 변경

추가됨
Agentic_RL_filter_methods
2026년 9월 17일 12:55 PM
추가됨
Agentic_RL_list_method_facets
2026년 9월 17일 12:55 PM
추가됨
Agentic_RL_get_task
2026년 9월 17일 12:55 PM
추가됨
Agentic_RL_search_tasks
2026년 9월 17일 12:55 PM
추가됨
Agentic_RL_dataset_overview
2026년 9월 17일 12:55 PM
추가됨
Agentic_RL_fetch_evidence
2026년 9월 17일 12:55 PM
추가됨
Agentic_RL_search_evidence
2026년 9월 17일 12:55 PM
추가됨
Agentic_RL_list_sources
2026년 9월 17일 12:55 PM
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