Real-Time Recurrent Learning using Trace Units in Reinforcement Learning
Recurrent Neural Networks (RNNs) are used to learn representations in partially observable
environments. For agents that learn online and continually interact with the environment, it is …
environments. For agents that learn online and continually interact with the environment, it is …
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning
This work introduces Transformer-based Off-Policy Episodic Reinforcement Learning (TOP-
ERL), a novel algorithm that enables off-policy updates in the ERL framework. In ERL …
ERL), a novel algorithm that enables off-policy updates in the ERL framework. In ERL …