Markov Models
Appendix A Proofs
This result is well-known [29] but we include a proof here for completeness. First, let's define the conditional risk of h at x, denoted by R Next, suppose q ( x) null= c and h( x) null= h( x). From the proof of Lemma 4.1, we know that The proof of Lemma 4.5 depends on another lemma, which will also be useful in the unknown hypothesis class setting. This is the first claim of the lemma. Thus, ( null) must be false!
Multi-agent active perception with prediction rewards
Multi-agent active perception is a task where a team of agents cooperatively gathers observations to compute a joint estimate of a hidden variable.
On the Importance of Exploration for Generalization in Reinforcement Learning
We hypothesize that the agent's exploration strategy plays a key role in its ability to generalize to new environments.
POMDPs in Continuous Time and Discrete Spaces
Many processes, such as discrete event systems in engineering or population dynamics in biology, evolve in discrete space and continuous time.
POMDPs in Continuous Time and Discrete Spaces
Many processes, such as discrete event systems in engineering or population dynamics in biology, evolve in discrete space and continuous time.
