But reinforcement learning is about training computational agents, not animals. The agent can be a software agent like a chess-playing program. But the agent can also be an embodied entity like a ...

Reinforcement learning is also being used to improve the reasoning capabilities of chatbots. Reinforcement learning’s origins However, none of these successes could have been foreseen in the 1980s.

Reinforcement learning has also helped researchers master complicated games such as Go, StarCraft 2, and DOTA. Creating reinforcement learning models presents several challenges.

Examples of Reinforcement Learning: Game playing: RL has achieved remarkable success in game playing, particularly with algorithms like Deep Q-Networks (DQN) and AlphaGo.

Reinforcement learning is also being used to improve the reasoning capabilities of chatbots. Reinforcement learning’s origins However, none of these successes could have been foreseen in the 1980s.