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View Code? Open in Web Editor NEWMarginal MAP Bayesian Inverse Reinforcement Learning for dealing with occlusions and noise in learning data.
Marginal MAP Bayesian Inverse Reinforcement Learning for dealing with occlusions and noise in learning data.
Please consider that your code has the index error message while running your code as it is with no changes:
Traceback (most recent call last):
File "/mmap-testing/mmap-birl-master/code/runner.py", line 126, in
main()
File "/mmap-testing/mmap-birl-master/code/runner.py", line 51, in main
expertData = generator.generateDemonstration(mdp, problem)
File "/mmap-testing/mmap-birl-master/code/generator.py", line 56, in generateDemonstration
trajs, policy = generateTrajectory(mdp, problem)
File "/mmap-testing/mmap-birl-master/code/generator.py", line 124, in generateTrajectory
trajs, trajVmean, trajVvar = sampleTrajectories(problem.nTrajs, problem.nSteps, policy, mdp, problem.seed)
File "/mmap-testing/mmap-birl-master/code/generator.py", line 232, in sampleTrajectories
a = np.squeeze(piL[s])
IndexError: index 140 is out of bounds for axis 0 with size 48
Solving it requires uncommenting line 227 and commenting line 229 in your generator.py code.
Please consider if that is correct or please push a latest working code of mmap-birl on your github repo.
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