Competitive RL
Competitive RL is a branch of reinforcement learning where multiple agents learn and adapt strategies by competing against each other in a shared environment.
Contraction Mapping
Contraction mapping is a function on a metric space that brings points closer together, ensuring a unique fixed point.
Cooperative RL
Cooperative RL is a type of reinforcement learning where multiple agents work together to achieve a shared goal by coordinating their actions and learning strategies.
Counterfactual Regret Minimization
Counterfactual Regret Minimization is an iterative algorithm used in game theory to minimize regret by evaluating hypothetical alternative outcomes and improving decision-making strategies over time.
Credit Assignment Problem
The Credit Assignment Problem is the challenge of determining which actions or events are responsible for a particular outcome in a complex system.
Critic
A critic is a person who evaluates, analyzes, and offers opinions about creative works, performances, or ideas to inform and influence public perception.
Curiosity-Driven Learning
Curiosity-driven learning is an approach where learners pursue knowledge motivated primarily by their natural curiosity and intrinsic interest rather than external rewards or requirements.