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Found 4 papers, 0 papers with code
Representation Abstractions as Incentives for Reinforcement Learning Agents: A Robotic Grasping Case Study
The results show that RL agents using numerical states can perform on par with non-learning baselines.
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control
We introduce a disturbance-augmented Markov decision process in delayed settings as a novel representation to incorporate disturbance estimation in training on-policy reinforcement learning algorithms.
Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks
Fully randomized simulations and fine-tuning show differentiated results and translate better to the real robot than the other approaches tested.
Non-Holonomic RRT & MPC: Path and Trajectory Planning for an Autonomous Cycle Rickshaw
Therefore, the algorithm presented in this paper needs to anticipate and avoid dynamic obstacles, such as pedestrians or bicycles, but also be fast enough in order to work in real-time so that it can adapt to changes in the environment.
Motion Planning
Trajectory Planning
Robotics
