Phase 097: Deep and Advanced Reinforcement Learning
Phase 097 of the AI Encyclopedia — Deep and Advanced Reinforcement Learning. Topics 1921–1940.
This phase covers Deep and Advanced Reinforcement Learning. Below are the 20 concepts grouped under this phase — each is a future article in the Insightful AI World encyclopedia.
1921 Deep Q-Network
1922 Policy Gradient
1923 REINFORCE
1924 Actor-Critic
1925 Advantage Actor-Critic
1926 Proximal Policy Optimization
1927 Trust Region Policy Optimization
1928 Soft Actor-Critic
1929 Model-free RL
1930 Model-based RL
1931 Offline RL
1932 Imitation Learning
1933 Inverse Reinforcement Learning
1934 Multi-agent RL
1935 Hierarchical RL
1936 Curriculum Learning in RL
1937 Reward Shaping
1938 Credit Assignment
1939 RL Stability
1940 RL Safety