Bi-directional Recurrence Improves Transformer in Partially Observable Markov Decision Processes

Ashok Arora, Neetesh Kumar

In real-world reinforcement learning (RL) scenarios, agents often encounter partial observability, where incomplete or noisy information obscures the true state of the environment.…