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DDPG: replay and target networks for deterministic continuous-control actors

Combined deterministic actor-critic policy gradients with replay, slowly updated targets and normalization to train deep policies over continuous actions.

What is recorded here?

Combined deterministic actor-critic policy gradients with replay, slowly updated targets and normalization to train deep policies over continuous actions.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Extends earlier deterministic policy-gradient algorithms and DQN stabilization, not invention of either. More than20simulated physics tasks and selected pixel-control results do not ensure convergence, physical deployment safety or universal control performance; first two authors source-marked equal contribution.

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People and systems

Timothy P. Lillicrap; Jonathan J. Hunt; Alexander Pritzel; Nicolas Heess; Tom Erez; Yuval Tassa; David Silver; Daan Wierstra

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

DDPG: replay and target networks for deterministic continuous-control actors

Combined deterministic actor-critic policy gradients with replay, slowly updated targets and normalization to train deep policies over continuous actions.

Scientific scope

Extends earlier deterministic policy-gradient algorithms and DQN stabilization, not invention of either. More than20simulated physics tasks and selected pixel-control results do not ensure convergence, physical deployment safety or universal control performance; first two authors source-marked equal contribution.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Timothy P. Lillicrap; Jonathan J. Hunt; Alexander Pritzel; Nicolas Heess; Tom Erez; Yuval Tassa; David Silver; Daan Wierstra

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources