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Computing & AI · Source-linked note

Decision Transformer: return-conditioned action sequence modeling

Trained a causal Transformer on interleaved return-to-go, state and action histories to predict actions by supervised learning, conditioning generation on desired returns at inference.

What is recorded here?

Trained a causal Transformer on interleaved return-to-go, state and action histories to predict actions by supervised learning, conditioning generation on desired returns at inference.

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

Scientific scope

Default training predicts actions rather than fitting all trajectory variables. A desired return need not be attainable or supported by the offline data. Original v1 includes Michael Laskin; first two authors contributed equally and final two advised equally. Does not certify optimal actions for arbitrary environments.

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People and systems

Lili Chen; Kevin Lu; Aravind Rajeswaran; Kimin Lee; Aditya Grover; Michael Laskin; Pieter Abbeel; Aravind Srinivas; Igor Mordatch

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

Decision Transformer: return-conditioned action sequence modeling

Trained a causal Transformer on interleaved return-to-go, state and action histories to predict actions by supervised learning, conditioning generation on desired returns at inference.

Scientific scope

Default training predicts actions rather than fitting all trajectory variables. A desired return need not be attainable or supported by the offline data. Original v1 includes Michael Laskin; first two authors contributed equally and final two advised equally. Does not certify optimal actions for arbitrary environments.

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

Lili Chen; Kevin Lu; Aravind Rajeswaran; Kimin Lee; Aditya Grover; Michael Laskin; Pieter Abbeel; Aravind Srinivas; Igor Mordatch

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