Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer

An important goal of research in Deep Reinforcement Learning in mobile robotics is to train agents capable of solving complex tasks, which require a high level of scene understanding and reasoning from an egocentric perspective. When trained from simulations, optimal environments should satisfy a currently unobtainable combination of high-fidelity photographic observations, massive amounts of different environment configurations and fast simulation speeds. In this paper we argue that research on training agents capable of complex reasoning can be simplified by decoupling from the requirement of high fidelity photographic observations. We present a suite of tasks requiring complex reasoning and exploration in continuous, partially observable 3D environments. The objective is to provide challenging scenarios and a robust baseline agent architecture that can be trained on mid-range consumer hardware in under 24h. Our scenarios combine two key advantages: (i) they are based on a simple but highly efficient 3D environment (ViZDoom) which allows high speed simulation (12000fps); (ii) the scenarios provide the user with a range of difficulty settings, in order to identify the limitations of current state of the art algorithms and network architectures. We aim to increase accessibility to the field of Deep-RL by providing baselines for challenging scenarios where new ideas can be iterated on quickly. We argue that the community should be able to address challenging problems in reasoning of mobile agents without the need for a large compute infrastructure

The speech of men and women in contemporary French: The function of parenthetical remarks and the pragmatic particles c'est-a-dire, enfin, hein and quoi.

This thesis sets out to test Lakoff's (1975) hypothesis that women's speech is more polite or tentative than men's through a detailed analysis of the usage, in a sample of contemporary spoken French, of parenthetical remarks (PRs) and the pragmatic particles (PPs) c'est-a-dire, enfin, hein and quoi. PRs and PPs serve both the repair requirements and the social interactional 'face-work' which are characteristic of spontaneous speech. Qualitative and quantitative investigations were conducted on the seventeen-hour corpus of orthographically-transcribed spontaneous speech. The aim of the qualitative analysis was to evaluate the contextual factors which may motivate the use of PRs and PPs. The quantitative analysis, by contrast, set out to measure the distributional frequencies of their usage according to the sex, age and educational background of the speakers. Whilst the detailed exploration of contingent factors such as the social roles adopted by the speakers demonstrates the value of a qualitative account, the fact that it is possible to make generalisable or falsifiable pronouncements on the basis of results found to be statistically significant in the data legitimises the adoption of a quantitative account. Both qualitative and quantitative analyses presume a prior sub-categorisation of the pragmatic usages of the linguistic item under investigation. The thesis arrives at the conclusion that, if men's and women's usage of PRs and PPs differs in the corpus, the asymmetry lies not in the degree of tentativeness displayed but rather in the use made of such expressions to introduce explanatory ramification and to mediate repair, both of which are favoured to a greater extent by the male speakers in our corpus. If the female speakers display greater politeness, it lies in their more adroit usage of the PPs to structure discourse and to maintain contact with their interlocutor