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.
Macquarie University
★ 4.9 (64K) · Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
★ 4.6 (48K) · Beginner · Specialization · 3 - 6 Months

University of Michigan
★ 4.8 (124) · Beginner · Specialization · 1 - 3 Months

★ 4.6 (3.4K) · Intermediate · Specialization · 3 - 6 Months

★ 4.7 (18K) · Intermediate · Course · 1 - 3 Months

★ 4.6 (309) · Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
★ 4.5 (51K) · Beginner · Specialization · 3 - 6 Months
University of London
★ 4.7 (3.5K) · Beginner · Course · 1 - 4 Weeks

LearnQuest
★ 3.4 (86) · Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
★ 4.8 (3.4K) · Intermediate · Course · 1 - 4 Weeks

★ 4.7 (2.1K) · Intermediate · Course · 1 - 3 Months

DeepLearning.AI
★ 4.8 (52K) · Beginner · Course · 1 - 4 Weeks