% Key papers for Language-grounded reinforcement agents (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{iclr2018_noisy_28730,
  title = {{Noisy Networks For Exploration}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/308},
}

@inproceedings{iclr2018_distributed_28483,
  title = {{Distributed Prioritized Experience Replay}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/134},
}

@inproceedings{icml2018_visualizing_37078,
  title = {{Visualizing and Understanding Atari Agents}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1987},
}

@inproceedings{iclr2020_dream_29597,
  title = {{Dream to Control: Learning Behaviors by Latent Imagination}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=S1lOTC4tDS},
}

@inproceedings{iclr2019_deep_28952,
  title = {{Deep reinforcement learning with relational inductive biases}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/995},
}

@inproceedings{neurips2017_elf_56278,
  title = {{ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9052},
}

@inproceedings{iclr2018_neural_28442,
  title = {{Neural Map: Structured Memory for Deep Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/196},
}

@inproceedings{icml2017_neural_36304,
  title = {{Neural Episodic Control}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/745},
}

@inproceedings{icml2019_model_37548,
  title = {{Model-Based Active Exploration}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4091},
}

@inproceedings{iclr2019_learning_28889,
  title = {{Learning to Understand Goal Specifications by Modelling Reward}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/734},
}

@inproceedings{iclr2020_graph_29268,
  title = {{Graph Constrained Reinforcement Learning for Natural Language Action Spaces}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=B1x6w0EtwH},
}

@inproceedings{neurips2020_learning_60167,
  title = {{Learning Dynamic Belief Graphs to Generalize on Text-Based Games}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17931},
}

@inproceedings{aaai2022_learning_2358,
  title = {{Learning to Walk with Dual Agents for Knowledge Graph Reasoning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/05932-learning-to-walk-with-dual-agents-for-knowledge-graph-reasoning/},
}

@inproceedings{aaai2018_teaching_102378,
  title = {{Teaching a Machine to Read Maps With Deep Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11645},
}

@inproceedings{icml2023_guiding_41609,
  title = {{Guiding Pretraining in Reinforcement Learning with Large Language Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24179},
}

@inproceedings{iclr2021_grounded_30743,
  title = {{Grounded Language Learning Fast and Slow}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3017},
}

@inproceedings{aaai2021_text_1486,
  title = {{Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/09018-text-based-rl-agents-with-commonsense-knowledge-new-challenges-environments-and-baselines/},
}

@inproceedings{iclr2020_graph_29533,
  title = {{Graph Convolutional Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=HkxdQkSYDB},
}

@inproceedings{iclr2020_explain_29638,
  title = {{Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=SJgzLkBKPB},
}

@inproceedings{neurips2019_discovery_58143,
  title = {{Discovery of Useful Questions as Auxiliary Tasks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13970},
}

@inproceedings{aaai2024_explaining_5899,
  title = {{Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28863},
}

@inproceedings{aaai2025_walk_11264,
  title = {{Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33398},
}

@inproceedings{iclr2024_motif_35469,
  title = {{Motif: Intrinsic Motivation from Artificial Intelligence Feedback}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17604},
}

@inproceedings{aaai2024_bootstrapping_5312,
  title = {{Bootstrapping Cognitive Agents with a Large Language Model}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27822},
}

@inproceedings{icml2024_bagel_44553,
  title = {{BAGEL: Bootstrapping Agents by Guiding Exploration with Language}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33899},
}

@inproceedings{aaai2024_neural_6769,
  title = {{Neural Reasoning about Agents’ Goals, Preferences, and Actions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27800},
}

@inproceedings{aaai2025_agent_8071,
  title = {{Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35450},
}

@inproceedings{aaai2026_a_106694,
  title = {{A Logical Analysis of an Information Filtering Architecture Based on Epistemic Trust Inference}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39001},
}

@inproceedings{aaai2024_the_7539,
  title = {{The CoachAI Badminton Environment: Bridging the Gap between a Reinforcement Learning Environment and Real-World Badminton Games}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30584},
}

@inproceedings{aaai2025_contrastive_8532,
  title = {{Contrastive Representation for Interactive Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33313},
}

@inproceedings{aaai2025_deep_8675,
  title = {{Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33763},
}

@inproceedings{aaai2025_representation_10521,
  title = {{Representation-driven Option Discovery in Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35100},
}

@inproceedings{iclr2024_civrealm_34543,
  title = {{CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18531},
}

@inproceedings{icml2025_training_47489,
  title = {{Training a Generally Curious Agent}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45106},
}

@inproceedings{icml2025_a_49001,
  title = {{A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43622},
}

@inproceedings{icml2026_a_51686,
  title = {{A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=OqYz3v9111},
}

@inproceedings{icml2026_agentsteertts_53678,
  title = {{AgentSteerTTS: A Multi-Agent Closed-Loop Framework for Composite-Instruction Text-to-Speech}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=hgKQemfVbS},
}

@inproceedings{icml2026_what_55487,
  title = {{What You Think is What You See: Driving Exploration in VLM Agents via Visual-Linguistic Curiosity}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=zWStW3hrfW},
}

@inproceedings{neurips2025_ground_76545,
  title = {{Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=KWRKCXRwNg},
}

@inproceedings{neurips2025_deep_77062,
  title = {{Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=QD06Qv7O0P},
}