Adapting the Behavior of Reinforcement Learning Agents to Changing Action Spaces and Reward Functions

Raul de la Rosa, Ivana Dusparic, Nicolas Cardozo

Reinforcement Learning (RL) agents often struggle in real-world applications where environmental conditions are non-stationary, particularly when reward functions shift or the avai…