Multi-State-Action Tokenisation in Decision Transformers for
Multi-Discrete Action Spaces
Multi-State-Action Tokenisation in Decision Transformers for
Multi-Discrete Action Spaces
Decision Transformers, in their vanilla form, struggle to perform on image-based environments with multi-discrete action spaces. Although enhanced Decision Transformer architectures have been developed to improve performance, these methods have not specifically addressed this problem of multi-discrete action spaces which hampers existing Decision Transformer architectures from learning good representations. To …