42 citations · 89 across the 6 of their papers we have counts for
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cs.LG2021★ 9 cited
Lyapunov Barrier Policy Optimization
Harshit Sikchi, Wenxuan Zhou, David Held
Deploying Reinforcement Learning (RL) agents in the real-world require that the agents satisfy safety constraints. Current RL agents explore the environment without considering the…
cs.LG2020★ 1 cited
Learning Off-Policy with Online Planning
Harshit Sikchi, Wenxuan Zhou, David Held
Reinforcement learning (RL) in low-data and risk-sensitive domains requires performant and flexible deployment policies that can readily incorporate constraints during deployment.…