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See:
Description
Interface Summary | |
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LRTAStarAgentProgram<K extends AgentAction,P extends AgentPercept,S extends AgentState> | An online agent that uses an A*-like evaluation function. |
OnlineAgentProgram<K extends AgentAction,P extends AgentPercept,S extends AgentState> | Like a SimpleProblemSolvingAgent, but adapted for the information available in an online environment. |
OnlineDFSAgentProgram<K extends AgentAction,P extends AgentPercept,S extends AgentState> | An online search agent program that uses depth-first exploration. |
OnlineGreedyAgentProgram<K extends AgentAction,P extends AgentPercept,S extends AgentState> | An agent program which implements an online version of the Greedy Best-First informed search algorithm. |
OnlineHeuristicAgentProgram<K extends AgentAction,P extends AgentPercept,S extends AgentState,R extends OnlineSearchProblem<K,S>> | An online search agent that uses an evaluation function to choose actions. |
OnlineHeuristicFunction<K extends AgentAction,S extends AgentState,P extends OnlineSearchProblem<K,S>> | A heuristic function in an online environment directly evaluates states, rather than search tree nodes. |
OnlineSearchProblem<K extends AgentAction,S extends AgentState> | A formal description of the information available to an online search agent. |
OnlineSearchProblemWithSuccessorFunction<K extends AgentAction,S extends AgentState> | An online problem description in which the agent does know, at least provisionally, the outcome of a given action from a given state. |
R&N ch 4.5: Search in partially observable environments, in which planning and action must be interleaved.
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