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 |:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
 | [July, 2023] [Communicative Agents for Software Development](https://arxiv.org/abs/2307.07924), Chen Qian et al., arXiv                                                                                                                    |
 | [October, 2023] [CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents](https://arxiv.org/abs/2310.17512), Qinlin Zhao et al., arXiv                                                                     |
+| [March, 2020] [The Hanabi challenge: A new frontier for AI research](http://dx.doi.org/10.1016/j.artint.2019.103216), Nolan Bard et al., Artificial Intelligence                                                                           |
 | [December, 2023] [RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments](https://proceedings.mlr.press/v205/xiong23a.html), Haoyu Xiong et al., Proceedings of The 6th Conference on Robot Learning |
 | [August, 2022] [Do As I Can and Not As I Say: Grounding Language in Robotic Affordances](https://say-can.github.io/), Michael Ahn et al., arXiv preprint arXiv:2204.01691                                                                  |
 | [June, 2022] [Inner Monologue: Embodied Reasoning through Planning with Language Models](https://arxiv.org/abs/2207.05608), Wenlong Huang et al., arXiv preprint arXiv:2207.05608                                                          |
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 |:-------------------------------------------------------------------------------------------------------------------------------------------------|:---------------|:---------------------------------------------------------------|:-------------------------------------------------------------------|:-------------------------------|:------------------------------|
 | [Communicative Agents for Software Development](https://arxiv.org/abs/2307.07924)                                                                | July, 2023     | collaboration, embodied                                        | prompting_and_in_context_learning, more_than_three_agents          | rule_based                     | n/a                           |
 | [CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents](https://arxiv.org/abs/2310.17512)                      | October, 2023  | competition, text                                              | prompting_and_in_context_learning, two_agents                      | rule_based                     | n/a                           |
+| [The Hanabi challenge: A new frontier for AI research](http://dx.doi.org/10.1016/j.artint.2019.103216)                                           | March, 2020    | collaboration, text                                            | more_than_three_agents                                             | rule_based                     | n/a                           |
 | [RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments](https://proceedings.mlr.press/v205/xiong23a.html) | December, 2023 | implicit_objectives, robotics                                  | reinforcement_learning, agents_with_memory                         | human, rule_based              | simulated_humans              |
 | [Do As I Can and Not As I Say: Grounding Language in Robotic Affordances](https://say-can.github.io/)                                            | August, 2022   | mixed_objectives, implicit_objectives, robotics                | finetuning, reinforcement_learning, agents_with_memory             | human, rule_based, model_based | simulated_humans              |
 | [Inner Monologue: Embodied Reasoning through Planning with Language Models](https://arxiv.org/abs/2207.05608)                                    | June, 2022     | mixed_objectives, implicit_objectives, robotics                | finetuning, reinforcement_learning, agents_with_memory             | human, rule_based, model_based | simulated_humans              |