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Found 3 papers, 2 papers with code
Do Transformer World Models Give Better Policy Gradients?
We integrate such AWMs into a policy gradient framework that underscores the relationship between network architectures and the policy gradient updates they inherently represent.
Bridging State and History Representations: Understanding Self-Predictive RL
These findings culminate in a set of preliminary guidelines for RL practitioners.
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment
The Transformer architecture has been very successful to solve problems that involve long-term dependencies, including in the RL domain.
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