Fatima Anwar

Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays

Deep Reinforcement Learning (RL) has demonstrated to be useful for a wide variety of robotics applications. To address sample efficiency and safety during training, it is common to train Deep RL policies in a simulator and then deploy to the real world, a process called Sim2Real transfer. For roboti