2.**Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents** AAAI2020. [paper](https://aaai.org/Papers/AAAI/2020GB/AAAI-SilvaF.2159.pdf)
*Felipe Leno da Silva (University of Sao Paulo)*; Pablo Hernandez-Leal (Borealis AI); Bilal Kartal (Borealis AI); Matthew Taylor (Borealis AI)*
3.**Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning** AAAI2020. [paper](https://aaai.org/Papers/AAAI/2020GB/AAAI-AnastassacosN.1598.pdf)
*Nicolas Anastassacos, Stephen Hailes, Mirco Musolesi*
4.**Reinforcement Learning with Perturbed Reward** AAAI2020. [paper](https://www.aaai.org/Papers/AAAI/2020GB/AAAI-WangJK.4139.pdf)
*Jingkang Wang, Yang Liu, Bo Li*
5.**Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization** AAAI2020. [paper](https://arxiv.org/pdf/1911.12574.pdf)
*Qi Zhou, HouQiang Li, Jie Wang*
6.**Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes** AAAI2020. [paper](https://www.fi.muni.cz/~xnovot18/aaai20.pdf)
*Toma ́sˇ Bra ́zdil, Krishnendu Chatterjee, Petr Novotny ́, Jirˇ ́ı Vahala*
7.**Exploratory Combinatorial Optimization with Reinforcement Learning** AAAI2020. [paper](https://arxiv.org/pdf/1909.04063.pdf)
*Thomas D. Barrett, William R. Clements, Jakob N. Foerster, Alex I. Lvovsky*
8.**Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning** AAAI2020. [paper](https://arxiv.org/pdf/1909.03906.pdf)
*Kristopher De Asis, Alan Chan, Silviu Pitis, Richard S. Sutton, Daniel Graves*
