Winner-take-all in action selection
Definition
Winner-take-all (WTA) is a competitive process used in neural networks and reinforcement …
Rl
Three-factor learning
Definition
Three-factor learning is a specific approach within reinforcement learning that …
Robot learning
Definition
Robot learning involves training robotic agents to perform tasks autonomously by …
Probability matching
Definition
Probability matching is a behavioral pattern often observed in reinforcement learning and …
Predictive state representation
Definition
Predictive State Representations (PSRs) extend traditional partially observable Markov …
Multi-armed bandit
Definition
The multi-armed bandit problem illustrates the dilemma faced by an agent deciding whether …
Mountain Car Problem
Definition
The Mountain Car Problem is a standard benchmark in reinforcement learning research. The …
Intrinsic motivation
Definition
In reinforcement learning, intrinsic motivation drives an agent to explore its …
Exploration–exploitation dilemma
Definition
In decision-making processes, agents face a trade-off: they can exploit current knowledge …
on-policy
Definition
On-policy algorithms require that the agent learns directly from the actions taken by its …
long-horizon
Definition
Long-horizon problems involve sequences of actions where the impact of early decisions …
State
Definition
A state represents all relevant information needed to determine future behavior in …
Policy
Definition
The term ‘policy’ has dual meanings depending on the context. In general …
Hierarchical
Definition
Hierarchical AI systems organize information or control into a tree-like structure of …
Action
Definition
In artificial intelligence and robotics, an action refers to a specific step or decision …