Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning

no code implementations • 21 Jul 2022 • Adam Villaflor, Zhe Huang, Swapnil Pande, John Dolan, Jeff Schneider

Impressive results in natural language processing (NLP) based on the Transformer neural network architecture have inspired researchers to explore viewing offline reinforcement learning (RL) as a generic sequence modeling problem.

Autonomous Driving D4RL +2