2024
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.
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CoRR, 2024
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Refining Minimax Regret for Unsupervised Environment Design.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Learning to Act without Actions.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Reward-Free Curricula for Training Robust World Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
The Generalization Gap in Offline Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Advancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Multi-Agent Diagnostics for Robustness via Illuminated Diversity.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX.
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Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
2023
Learning Curricula in Open-Ended Worlds.
CoRR, 2023
minimax: Efficient Baselines for Autocurricula in JAX.
CoRR, 2023
JaxMARL: Multi-Agent RL Environments in JAX.
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CoRR, 2023
Weakly Supervised Anomaly Detection: A Survey.
CoRR, 2023
How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection.
CoRR, 2023
ADGym: Design Choices for Deep Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Anomaly Detection with Score Distribution Discrimination.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs.
Proceedings of the International Conference on Machine Learning, 2023
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Stabilizing Unsupervised Environment Design with a Learned Adversary.
Proceedings of the Conference on Lifelong Learning Agents, 2023
2022
General Intelligence Requires Rethinking Exploration.
CoRR, 2022
Improving Intrinsic Exploration with Language Abstractions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Exploration via Elliptical Episodic Bonuses.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
ADBench: Anomaly Detection Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
GriddlyJS: A Web IDE for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Evolving Curricula with Regret-Based Environment Design.
Proceedings of the International Conference on Machine Learning, 2022
2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Replay-Guided Adversarial Environment Design.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Insights From the NeurIPS 2021 NetHack Challenge.
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Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021
Prioritized Level Replay.
Proceedings of the 38th International Conference on Machine Learning, 2021
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
2020
WordCraft: An Environment for Benchmarking Commonsense Agents.
CoRR, 2020