Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation

no code implementations • 18 Dec 2019 • Tianhong Dai, Kai Arulkumaran, Tamara Gerbert, Samyakh Tukra, Feryal Behbahani, Anil Anthony Bharath

Furthermore, even with an improved saliency method introduced in this work, we show that qualitative studies may not always correspond with quantitative measures, necessitating the combination of inspection tools in order to provide sufficient insights into the behaviour of trained agents.

reinforcement-learning Reinforcement Learning (RL)