34 citations · 94 across the 29 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2023★ 1 cited
Joint action loss for proximal policy optimization
Xiulei Song, Yizhao Jin, Greg Slabaugh +1
PPO (Proximal Policy Optimization) is a state-of-the-art policy gradient algorithm that has been successfully applied to complex computer games such as Dota 2 and Honor of Kings. I…
cs.LG2021
Predictive Control Using Learned State Space Models via Rolling Horizon Evolution
Alvaro Ovalle, Simon M. Lucas
A large part of the interest in model-based reinforcement learning derives from the potential utility to acquire a forward model capable of strategic long term decision making. Ass…
cs.LG2020
Bootstrapped model learning and error correction for planning with uncertainty in model-based RL
Alvaro Ovalle, Simon M. Lucas
Having access to a forward model enables the use of planning algorithms such as Monte Carlo Tree Search and Rolling Horizon Evolution. Where a model is unavailable, a natural aim i…