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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Deterministic Value-Policy Gradients

February 1, 2023

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Authors

Qingpeng Cai

Alibaba Group


Ling Pan

Tsinghua University


Pingzhong Tang

Tsinghua University


DOI:

10.1609/aaai.v34i04.5732


Abstract:

Reinforcement learning algorithms such as the deep deterministic policy gradient algorithm (DDPG) has been widely used in continuous control tasks. However, the model-free DDPG algorithm suffers from high sample complexity. In this paper we consider the deterministic value gradients to improve the sample efficiency of deep reinforcement learning algorithms. Previous works consider deterministic value gradients with the finite horizon, but it is too myopic compared with infinite horizon. We firstly give a theoretical guarantee of the existence of the value gradients in this infinite setting. Based on this theoretical guarantee, we propose a class of the deterministic value gradient algorithm (DVG) with infinite horizon, and different rollout steps of the analytical gradients by the learned model trade off between the variance of the value gradients and the model bias. Furthermore, to better combine the model-based deterministic value gradient estimators with the model-free deterministic policy gradient estimator, we propose the deterministic value-policy gradient (DVPG) algorithm. We finally conduct extensive experiments comparing DVPG with state-of-the-art methods on several standard continuous control benchmarks. Results demonstrate that DVPG substantially outperforms other baselines.

Topics: AAAI

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HOW TO CITE:

Qingpeng Cai||Ling Pan||Pingzhong Tang Deterministic Value-Policy Gradients Proceedings of the AAAI Conference on Artificial Intelligence (2020) 3316-3323.

Qingpeng Cai||Ling Pan||Pingzhong Tang Deterministic Value-Policy Gradients AAAI 2020, 3316-3323.

Qingpeng Cai||Ling Pan||Pingzhong Tang (2020). Deterministic Value-Policy Gradients. Proceedings of the AAAI Conference on Artificial Intelligence, 3316-3323.

Qingpeng Cai||Ling Pan||Pingzhong Tang. Deterministic Value-Policy Gradients. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.3316-3323.

Qingpeng Cai||Ling Pan||Pingzhong Tang. 2020. Deterministic Value-Policy Gradients. "Proceedings of the AAAI Conference on Artificial Intelligence". 3316-3323.

Qingpeng Cai||Ling Pan||Pingzhong Tang. (2020) "Deterministic Value-Policy Gradients", Proceedings of the AAAI Conference on Artificial Intelligence, p.3316-3323

Qingpeng Cai||Ling Pan||Pingzhong Tang, "Deterministic Value-Policy Gradients", AAAI, p.3316-3323, 2020.

Qingpeng Cai||Ling Pan||Pingzhong Tang. "Deterministic Value-Policy Gradients". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.3316-3323.

Qingpeng Cai||Ling Pan||Pingzhong Tang. "Deterministic Value-Policy Gradients". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 3316-3323.

Qingpeng Cai||Ling Pan||Pingzhong Tang. Deterministic Value-Policy Gradients. AAAI[Internet]. 2020[cited 2023]; 3316-3323.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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