2 papers
cs.AI2025
Novelty Detection in Reinforcement Learning with World Models
Geigh Zollicoffer, Kenneth Eaton, Jonathan Balloch +4
Reinforcement learning (RL) using world models has found significant recent successes. However, when a sudden change to world mechanics or properties occurs then agent performance…
cs.LG2025
Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change
Jonathan Clifford Balloch
Real-world autonomous decision-making systems, from robots to recommendation engines, must operate in environments that change over time. While deep reinforcement learning (RL) has…