Planning under Uncertainty

• Original code base from http://www0.cs.ucl.ac.uk/staff/d.silver/web/Applications_files/pomcp-1.0.tar.gz [1]
• Featured algorithms:
  • Partially Observable Stacked Thompson Sampling (POSTS) [2]
  • Stable Yet Memory Bounded Open-Loop (SYMBOL) [3]

References

• [1] D. Silver and J. Veness, "Monte-Carlo Planning in Large POMDPs", in NIPS 2010
• [2] T. Phan et al., "Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling", in AAAI 2019
• [3] T. Phan et al., "Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning", in IJCAI 2019