Agentic RL: Credit Assignment and CLI Agents

space.hf.hoyant-su-agentic-rl/agentic-rl · v1.1.0 · productivity

Agentic RL: Credit Assignment and CLI Agents is healthy: it completed an MCP handshake in 1197 ms and exposes 8 tools.

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

Endpoint: https://hoyant-su-agentic-rl.hf.space/gradio_api/mcp/ (streamable-http)

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Facts

Users (last 30 days)0
HandshakeHealthy
Auth neededNone
Tool count8
Latency1197 ms
Last checked (UTC)2026-10-16T20:15:41.176Z

Health history

Checked (UTC)StatusLatencyError
2026-10-16T20:15:41.176ZHealthy1197
2026-10-15T13:35:10.707ZHealthy1147

Tools (8)

Agentic_RL_list_sourcesList 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_evidenceSearch 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_evidenceFetch 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_overviewInspect ShellOps and ShellOps-Pro task counts, train/test splits, task types, published schemas, source files, license and citation.
Agentic_RL_search_tasksFind 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 order
Agentic_RL_get_taskInspect 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 i
Agentic_RL_list_method_facetsList 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_methodsFilter 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 orde