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cs.LG2025
Demonstration-Guided Continual Reinforcement Learning in Dynamic Environments
Xue Yang, Michael Schukat, Junlin Lu +3
Reinforcement learning (RL) excels in various applications but struggles in dynamic environments where the underlying Markov decision process evolves. Continual reinforcement learn…
cs.LG2024
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments
Junlin Lu, Patrick Mannion, Karl Mason
Effective residential appliance scheduling is crucial for sustainable living. While multi-objective reinforcement learning (MORL) has proven effective in balancing user preferences…
cs.LG2024
Demonstration Guided Multi-Objective Reinforcement Learning
Junlin Lu, Patrick Mannion, Karl Mason
Multi-objective reinforcement learning (MORL) is increasingly relevant due to its resemblance to real-world scenarios requiring trade-offs between multiple objectives. Catering to…