Reinforcement Learning courses can help you learn key concepts like Markov decision processes, reward systems, and policy optimization. You can build skills in algorithm design, simulation environments, and evaluating agent performance. Many courses introduce tools such as TensorFlow and OpenAI Gym, that support implementing and testing reinforcement learning algorithms in practical scenarios.
DeepLearning.AI
★ 4.7 (25K) · Intermediate · Professional Certificate · 3 - 6 Months

★ 4.8 (844) · Beginner · Course · 1 - 4 Weeks

Alberta Machine Intelligence Institute
★ 4.4 (53) · Mixed · Course · 1 - 4 Weeks

Yale University
★ 4.9 (33K) · Beginner · Course · 1 - 3 Months
Arizona State University
★ 4.9 (20K) · Beginner · Specialization · 3 - 6 Months

★ 4.7 (49) · Advanced · Guided Project · Less Than 2 Hours

École Polytechnique
★ 4.8 (5.2K) · Intermediate · Course · 1 - 3 Months

DeepLearning.AI
★ 4.8 (20K) · Intermediate · Course · 1 - 4 Weeks

Microsoft
★ 4.5 (260) · Intermediate · Course · 1 - 3 Months

University of Michigan
★ 4.5 (34K) · Intermediate · Specialization · 3 - 6 Months

★ 4.2 (57) · Intermediate · Guided Project · Less Than 2 Hours

University of Washington
★ 4.6 (14K) · Mixed · Course · 1 - 3 Months