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pro vyhledávání: '"Maity, Sreejeet"'
Autor:
Maity, Sreejeet, Mitra, Aritra
One of the most basic problems in reinforcement learning (RL) is policy evaluation: estimating the long-term return, i.e., value function, corresponding to a given fixed policy. The celebrated Temporal Difference (TD) learning algorithm addresses thi
Externí odkaz:
http://arxiv.org/abs/2502.04662
Autor:
Maity, Sreejeet, Mitra, Aritra
Recently, there has been a surge of interest in analyzing the non-asymptotic behavior of model-free reinforcement learning algorithms. However, the performance of such algorithms in non-ideal environments, such as in the presence of corrupted rewards
Externí odkaz:
http://arxiv.org/abs/2409.03237
In this paper, we introduce a semi-decentralized control technique for a swarm of robots transporting a fragile object to a destination in an uncertain occluded environment.The proposed approach has been split into two parts. The initial part (Phase
Externí odkaz:
http://arxiv.org/abs/2209.05556