Training and Results

To train the actor-critic network, we apply a loss function that tries to classify expert (observation, action) pairs as $0$s and agent (observation, action) pairs as $1$s. When the agent learns to generate high quality (observation, action) pairs that resemble the expert, the discriminator will have increasing difficulty distinguishing ...