2 papers
cs.RO2023
Learning from Pixels with Expert Observations
Minh-Huy Hoang, Long Dinh, Hai Nguyen
In reinforcement learning (RL), sparse rewards can present a significant challenge. Fortunately, expert actions can be utilized to overcome this issue. However, acquiring explicit…
cs.LG2023
Solving Richly Constrained Reinforcement Learning through State Augmentation and Reward Penalties
Hao Jiang, Tien Mai, Pradeep Varakantham +1
Constrained Reinforcement Learning has been employed to enforce safety constraints on policy through the use of expected cost constraints. The key challenge is in handling expected…