Off-Policy Average Reward Actor-Critic with Deterministic Policy Search

no code implementations • 20 May 2023 • Naman Saxena, Subhojyoti Khastigir, Shishir Kolathaya, Shalabh Bhatnagar

In this work, we present both on-policy and off-policy deterministic policy gradient theorems for the average reward performance criterion.

A Framework for Provably Stable and Consistent Training of Deep Feedforward Networks

no code implementations • 20 May 2023 • Arunselvan Ramaswamy, Shalabh Bhatnagar, Naman Saxena

We show, in theory and through experiments, that our algorithm updates have low variance, and the training loss reduces in a smooth manner.

Q-Learning reinforcement-learning +1

Funnel-based Reward Shaping for Signal Temporal Logic Tasks in Reinforcement Learning

no code implementations • 30 Nov 2022 • Naman Saxena, Gorantla Sandeep, Pushpak Jagtap

Signal Temporal Logic (STL) is a powerful framework for describing the complex temporal and logical behaviour of the dynamical system.

reinforcement-learning Reinforcement Learning (RL)