2 citations · 5 across the 9 of their papers we have counts for
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cs.AI2024★ 1 cited
Preserving the Privacy of Reward Functions in MDPs through Deception
Shashank Reddy Chirra, Pradeep Varakantham, Praveen Paruchuri
Preserving the privacy of preferences (or rewards) of a sequential decision-making agent when decisions are observable is crucial in many physical and cybersecurity domains. For in…
cs.AI2024
Safety through feedback in Constrained RL
Shashank Reddy Chirra, Pradeep Varakantham, Praveen Paruchuri
In safety-critical RL settings, the inclusion of an additional cost function is often favoured over the arduous task of modifying the reward function to ensure the agent's safe beh…