4 papers
Robust Quadruped Locomotion via Evolutionary Reinforcement Learning
Brian McAteer, Karl Mason
Deep reinforcement learning has recently achieved strong results in quadrupedal locomotion, yet policies trained in simulation often fail to transfer when the environment changes.…
D-SPEAR: Dual-Stream Prioritized Experience Adaptive Replay for Stable Reinforcement Learning in Robotic Manipulation
Yu Zhang, Karl Mason
Robotic manipulation remains challenging for reinforcement learning due to contact-rich dynamics, long horizons, and training instability. Although off-policy actor-critic algorith…
Forecast Aware Deep Reinforcement Learning for Efficient Electricity Load Scheduling in Dairy Farms
Nawazish Ali, Rachael Shaw, Karl Mason
Dairy farming is an energy intensive sector that relies heavily on grid electricity. With increasing renewable energy integration, sustainable energy management has become essentia…
A Deep Reinforcement Learning Approach to Battery Management in Dairy Farming via Proximal Policy Optimization
Nawazish Ali, Rachael Shaw, Karl Mason
Dairy farms consume a significant amount of electricity for their operations, and this research focuses on enhancing energy efficiency and minimizing the impact on the environment…