policy

RewardFlow

tmlr-group · PyTorch

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Overview

Name
RewardFlow
Author
tmlr-group
Framework
PyTorch
License
Apache-2.0
Skill type
other
Evidence level
untested
Task description
[arXiv:2603.18859] "RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with Large Language Models"

Spaces

Action space
other · 0-dim · 0Hz
Observation space
  • type: other

Links

HuggingFace repo
null
Paper (arXiv)
null

Compatible robots

3+17 mentioned but not in catalog yet

Compatible environments

0

No environments list RewardFlow yet.

Datasets that reference this policy

0

No datasets reference RewardFlow yet.