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cs.LG2026
Cantelli Constrained Policy Optimization
Rohan Tangri, Jan-Peter Calliess
We introduce Canary, a risk-averse method designed to optimize Value-at-Risk (VaR) constrained reinforcement learning (RL) problems. We employ Cantelli's inequality to obtain a tra…
cs.LG2022
Pearl: Parallel Evolutionary and Reinforcement Learning Library
Rohan Tangri, Danilo P. Mandic, Anthony G. Constantinides
Reinforcement learning is increasingly finding success across domains where the problem can be represented as a Markov decision process. Evolutionary computation algorithms have al…