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+### papers relative to improved RL algorithms
+1. **Proximal Distilled Evolutionary Reinforcement Learning** AAAI2020. [paper](https://arxiv.org/pdf/1906.09807.pdf)
+
+    *Cristian Bodnar, Ben Day, Pietro Lio ́*
+
+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*