#include <rl_common/Random.h>
#include <rl_common/core.hh>
#include <rl_common/ExperienceFile.hh>
#include "../Models/FactoredModel.hh"
#include "../Models/C45Tree.hh"
#include <set>
#include <vector>
#include <map>
#include <sstream>
#include <deque>
Go to the source code of this file.
Classes | |
class | ParallelETUCT |
struct | ParallelETUCT::state_info |
struct | ParallelETUCT::state_samples |
Functions | |
void * | parallelModelLearningStart (void *arg) |
void * | parallelSearchStart (void *arg) |
Defines my real-time model-based RL architecture which uses UCT with eligiblity traces for planning. The modified version of UCT used is presented in: L. Kocsis and C. Szepesv´ari, "Bandit based monte-carlo planning," in ECML-06. Number 4212 in LNCS. Springer, 2006, pp. 282-293. The real-time architecture is presented in: Hester, Quinlan, and Stone, "A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control", arXiv 1105.1749, 2011.
Definition in file ParallelETUCT.hh.
void* parallelModelLearningStart | ( | void * | arg | ) |
Thread that loops, continually updating model with new experiences.
Definition at line 514 of file ParallelETUCT.cc.
void* parallelSearchStart | ( | void * | arg | ) |
Parallel thread that continually does uct search from agent's current state.
Definition at line 1132 of file ParallelETUCT.cc.