Learning agents with prioritization and parameter noise in continuous state and action space

no code implementations • ICLR 2019 • Rajesh Devaraddi, G. Srinivasaraghavan

Deep Q-learning networks (DQN) and Deep Deterministic Policy Gradient (DDPG) are two such methods that have shown state-of-the-art results in recent times.

Autonomous Vehicles Q-Learning +2