A constrained policy optimization method that uses a preemptive log-barrier penalty and a constraint-aware intrinsic reward to reduce safety violations in reinforcement learning.
Safe reinforcement learning for multi-agent systems with risk constraints
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Proactive Constrained Policy Optimization with Preemptive Penalty
A constrained policy optimization method that uses a preemptive log-barrier penalty and a constraint-aware intrinsic reward to reduce safety violations in reinforcement learning.