3 papers
cs.RO2026
Generating Natural and Expressive Robot Gestures through Iterative Reinforcement Learning with Human Feedback using LLMs
Chris Lee, Flora Salim, Benjamin Tag +1
Expressive gestures are essential for natural and effective communication, complementing speech when verbal cues alone are insufficient (e.g., pointing). For social robots such as…
cs.LG2026
Infant Spontaneous Movement Noise Improves Exploration in Deep RL
Francisco M. López, Markus R. Ernst, Francisco Cruz +2
Exploration in deep reinforcement learning (RL) is commonly implemented as temporally uncorrelated white noise. However, recent works show that temporally correlated colored noise…
cs.RO2024
Boosting Reinforcement Learning Algorithms in Continuous Robotic Reaching Tasks using Adaptive Potential Functions
Yifei Chen, Lambert Schomaker, Francisco Cruz
In reinforcement learning, reward shaping is an efficient way to guide the learning process of an agent, as the reward can indicate the optimal policy of the task. The potential-ba…