9 citations · 20 across the 5 of their papers we have counts for
3 papers · 1 filter
Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning
Jaeyoung Lee, Sean Sedwards, Krzysztof Czarnecki
We consider the challenge of finding a deterministic policy for a Markov decision process that uniformly (in all states) maximizes one reward subject to a probabilistic constraint…
Predictive PER: Balancing Priority and Diversity towards Stable Deep Reinforcement Learning
Sanghwa Lee, Jaeyoung Lee, Ichiro Hasuo
Prioritized experience replay (PER) samples important transitions, rather than uniformly, to improve the performance of a deep reinforcement learning agent. We claim that such prio…
WiseMove: A Framework for Safe Deep Reinforcement Learning for Autonomous Driving
Jaeyoung Lee, Aravind Balakrishnan, Ashish Gaurav +2
Machine learning can provide efficient solutions to the complex problems encountered in autonomous driving, but ensuring their safety remains a challenge. A number of authors have…