Hierarchical Reinforcement Learning

87 papers with code • 0 benchmarks • 2 datasets

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Libraries

Use these libraries to find Hierarchical Reinforcement Learning models and implementations
3 papers
48

Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning

chancefocus/trials 25 Jan 2023

For pair selection, ignoring the trading performance results in the wrong assets being selected with irrelevant price movements, while the agent trained for trading can overfit to the selected assets without any historical information of other assets.

89
25 Jan 2023

METEOR Guided Divergence for Video Captioning

d-rothen/bmhrl 20 Dec 2022

Using our BMHRL, we show the suitability of the HRL agent in the generation of content-complete and grammatically sound sentences by achieving $4. 91$, $2. 23$, and $10. 80$ in BLEU3, BLEU4, and METEOR scores, respectively on the ActivityNet Captions dataset.

5
20 Dec 2022

DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning

jaylee0301/dhrl_official 11 Oct 2022

Hierarchical Reinforcement Learning (HRL) has made notable progress in complex control tasks by leveraging temporal abstraction.

19
11 Oct 2022

Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning

daochenzha/autoshard 26 Aug 2022

Motivated by this, we investigate developing a learning-based over-sampling algorithm to optimize the classification performance, which is a challenging task because of the huge and hierarchical decision space.

20
26 Aug 2022

From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent

northadventure/collagerl 9 Aug 2022

We present an automated learning framework for a robotic sketching agent that is capable of learning stroke-based rendering and motor control simultaneously.

37
09 Aug 2022

Step by step: a hierarchical framework for multi-hop knowledge graph reasoning with reinforcement learning

CC1st/-step-by-step-mindspore Knowledge-Based Systems 2022

Due to this one-to-many dilemma, enlarged action space and ignoring logical relationship between entity and relation increase the difficulty of learning.

1
19 Jul 2022

Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation

JinyuZ1996/RL-ISN 16 Jun 2022

Shared-account Cross-domain Sequential Recommendation (SCSR) is an emerging yet challenging task that simultaneously considers the shared-account and cross-domain characteristics in the sequential recommendation.

9
16 Jun 2022

Deep Hierarchical Planning from Pixels

danijar/director 8 Jun 2022

Despite operating in latent space, the decisions are interpretable because the world model can decode goals into images for visualization.

78
08 Jun 2022

Possibility Before Utility: Learning And Using Hierarchical Affordances

robbycostales/hal ICLR 2022

Existing works in hierarchical reinforcement learning provide agents with structural representations of subtasks but are not affordance-aware, and by grounding our definition of hierarchical affordances in the present state, our approach is more flexible than the multitude of approaches that ground their subtask dependencies in a symbolic history.

13
23 Mar 2022

On Credit Assignment in Hierarchical Reinforcement Learning

joeryjoery/hierq 7 Mar 2022

To improve our fundamental understanding of HRL, we investigate hierarchical credit assignment from the perspective of conventional multistep reinforcement learning.

0
07 Mar 2022