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Found 3 papers, 1 papers with code
Adaptive PD Control using Deep Reinforcement Learning for Local-Remote Teleoperation with Stochastic Time Delays
By adjusting controller parameters in real-time, this adaptive controller compensates for stochastic delays and improves synchronicity between local and remote robotic manipulators.
Value Summation: A Novel Scoring Function for MPC-based Model-based Reinforcement Learning
This paper proposes a novel scoring function for the planning module of MPC-based reinforcement learning methods to address the inherent bias of using the reward function to score trajectories.
Model-based Reinforcement Learning
Reinforcement Learning (RL)
Prediction Based Decision Making for Autonomous Highway Driving
This paper proposes a Prediction-based Deep Reinforcement Learning (PDRL) decision-making model that considers the manoeuvre intentions of surrounding vehicles in the decision-making process for highway driving.
