Florin Gogianu's scientific contributions
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Publications (5)
A key component in autonomous driving is the ability of the self-driving car to understand, track and predict the dynamics of the surrounding environment. Although there is significant work in the area of object detection, tracking and observations prediction, there is no prior work demonstrating that raw observations prediction can be used for mot...
A key component in autonomous driving is the ability of the self-driving car to understand, track and predict the dynamics of the surrounding environment. Although there is significant work in the area of object detection, tracking and observations prediction, there is no prior work demonstrating that raw observations prediction can be used for mot...
Most of the recent deep reinforcement learning advances take an RL-centric perspective and focus on refinements of the training objective. We diverge from this view and show we can recover the performance of these developments not by changing the objective, but by regularising the value-function estimator. Constraining the Lipschitz constant of a s...
In this paper we present a deep reinforcement learning approach for learning to play a time extended social dilemma game in a simulated environment. Agents face differ- ent types of adversaries with different levels of commitment to a collaborative strategy. Our method builds on recent advances in policy gradient training using deep neural networks...
Citations
... StagHunt is a temporally and spatially extended version of the classic matrix game, which has also been investigated in several other papers (e.g. (Peysakhovich & Lerer, 2017;Nica et al., 2017;Leibo et al., 2017)). The environment contains two tasks. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/272217938329631-1441913222930_Q64/Adina-Magda-Florea.jpg)
... Berariu et. al. (Berariu and Gogianu 2017) augmented MFEC with sparse projections (Achlioptas 2003) along with variance normalisation in the projected space and demonstrated a improvement in performance, along with significant computational gains on ATARI. ...
