Reinforcement Learning

Agentic
Agentic

Agentic

Agentic AI is an advanced branch of artificial intelligence that empowers systems to act autonomously, make decisions, and accomplish complex tasks with minimal...

10 min read
Agentic AI Autonomous AI +6
Machine Learning
Machine Learning

Machine Learning

Machine Learning (ML) is a subset of artificial intelligence (AI) that enables machines to learn from data, identify patterns, make predictions, and improve dec...

3 min read
Machine Learning AI +4
Multi-Hop Reasoning
Multi-Hop Reasoning

Multi-Hop Reasoning

Multi-hop reasoning is an AI process, especially in NLP and knowledge graphs, where systems connect multiple pieces of information to answer complex questions o...

7 min read
AI Multi-Hop Reasoning +4
Q-learning
Q-learning

Q-learning

Q-learning is a fundamental concept in artificial intelligence (AI) and machine learning, particularly within reinforcement learning. It enables agents to learn...

2 min read
AI Reinforcement Learning +3
Reinforcement Learning
Reinforcement Learning

Reinforcement Learning

Reinforcement Learning (RL) is a subset of machine learning focused on training agents to make sequences of decisions within an environment, learning optimal be...

11 min read
Reinforcement Learning AI +5
Reinforcement Learning (RL)
Reinforcement Learning (RL)

Reinforcement Learning (RL)

Reinforcement Learning (RL) is a method of training machine learning models where an agent learns to make decisions by performing actions and receiving feedback...

2 min read
Reinforcement Learning Machine Learning +3
Reinforcement learning from human feedback (RLHF)
Reinforcement learning from human feedback (RLHF)

Reinforcement learning from human feedback (RLHF)

Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that integrates human input to guide the training process of reinforcement lea...

3 min read
AI Reinforcement Learning +4