Added a few recent papers info to README. (#52)

Author: samvelyan

README.md

@@ -192,6 +192,9 @@ For information on how to download NLD-AA and NLD-NAO, see the dataset doc [here
 Otherwise checkout the tutorial Colab notebook [here](https://colab.research.google.com/drive/1GRP15SbOEDjbyhJGMDDb2rXAptRQztUD?usp=sharing).
 
 # Papers using the NetHack Learning Environment
+- Paglieri et al. [BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games](https://arxiv.org/abs/2411.13543) (UCL, IDEAS NCBR, NYU, Oxford, Anthropic, ICLR 2025)
+- Klissarov et al. [MaestroMotif: Skill Design from Artificial Intelligence Feedback](https://arxiv.org/abs/2412.08542) (Mila, FAIR, UT Austin, Alberta, Amii, ICLR 2025) 
+- Klissarov et al. [Motif: Intrinsic Motivation from Artificial Intelligence Feedback](https://arxiv.org/abs/2310.00166) (Mila, FAIR, UT Austin, ICLR 2024) 
 - Izumiya and Simo-Serra [Inventory Management with Attention-Based Meta Actions](https://esslab.jp/~ess/publications/IzumiyaCOG2021.pdf) (Waseda University, CoG 2021).
 - Samvelyan et al. [MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research](https://arxiv.org/abs/2109.13202) (FAIR, UCL, Oxford, NeurIPS 2021).
 - Zhang et al. [BeBold: Exploration Beyond the Boundary of Explored Regions](https://arxiv.org/abs/2012.08621) (Berkley, FAIR, Dec 2020).