Agentic RL: Credit Assignment and CLI Agents
Filter agent RL credit assignment methods by supervision, learned value critic, credit granularity and evaluation setting.
От сообщества: Добавлен пользователем или импортирован; проверьте владельца перед подключениемРаботаетБез входаГлобальныйБесплатноТолько чтение
Что умеет
- 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, C
- 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, sou
- 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.
Какие данные видит
Нужен ли аккаунт
Не нужен: сервер работает без входа
Filter agent RL credit assignment methods by supervision, learned value critic, credit granularity and evaluation setting. Return original section evidence and BibTeX. Compare agent memory, observation selection and terminal benchmarks; retrieve paper passages and inspect ShellOps tasks.
Список инструментов сервера (8)
Технические названия из tools/list. Нужны только разработчикам.
| 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. |
| 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. |
| 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. |
| Agentic_RL_dataset_overview | Inspect ShellOps and ShellOps-Pro task counts, train/test splits, task types, published schemas, source files, license and citation. |
| 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. |
| 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. |
| 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. |
| 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. |