Agentic RL: Credit Assignment and CLI Agents

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space.hf.hoyant-su-agentic-rl/agentic-rlv1.1.0 Domain verified

Filter agent RL methods by supervision, critic and task setting; retrieve source links and BibTeX.

Research & Knowledge

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Agentic_RL_dataset_overview

Inspect ShellOps and ShellOps-Pro task counts, train/test splits, task types, published schemas, source files, license and citation.

This tool takes no arguments.

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Tools (8)

Agentic_RL_dataset_overview

Inspect ShellOps and ShellOps-Pro task counts, train/test splits, task types, published schemas, source files, license and citation.

No arguments.

Input schema (JSON)

{
  "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.

Argument	Type	Description
evidence_id*	string

Input schema (JSON)

{
  "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.

Argument	Type	Description
credit_granularity	string
evaluation_setting	string
learned_value_critic	string
required_supervision	string

Input schema (JSON)

{
  "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.

Argument	Type	Description
task_id*	string
partition*	string

Input schema (JSON)

{
  "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.

No arguments.

Input schema (JSON)

{
  "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.

No arguments.

Input schema (JSON)

{
  "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.

Argument	Type	Description
limit	integer
query*	string

Input schema (JSON)

{
  "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.

Argument	Type	Description
limit	integer
query*	string
split	string
offset	integer
partition	string

Input schema (JSON)

{
  "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": ""
    }
  }
}