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cs.LG2026
Trust Guided Decision Transformer
Chainesh Gautam, Raghuram Bharadwaj Diddigi, Chandramouli Kamanchi +3
Decision Transformer performance degrades on long rollouts because the conditioning context drifts out of the training distribution. We show that this drift is visible through the…
cs.LG2024
Activations Through Extensions: A Framework To Boost Performance Of Neural Networks
Chandramouli Kamanchi, Sumanta Mukherjee, Kameshwaran Sampath +4
Activation functions are non-linearities in neural networks that allow them to learn complex mapping between inputs and outputs. Typical choices for activation functions are ReLU,…