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08/21/2023
Stabilizing Unsupervised Environment Design with a Learned Adversary
A key challenge in training generally-capable agents is the design of tr...
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06/26/2023
Anomaly Detection with Score Distribution Discrimination
Recent studies give more attention to the anomaly detection (AD) methods...
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06/15/2023
Reward-Free Curricula for Training Robust World Models
There has been a recent surge of interest in developing generally-capabl...
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06/05/2023
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
Exploration in environments which differ across episodes has received in...
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03/06/2023
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
Open-ended learning methods that automatically generate a curriculum of ...
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01/18/2023
How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection
The introduction of ChatGPT has garnered widespread attention in both ac...
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11/15/2022
General Intelligence Requires Rethinking Exploration
We are at the cusp of a transition from "learning from data" to "learnin...
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10/11/2022
Exploration via Elliptical Episodic Bonuses
In recent years, a number of reinforcement learning (RL) methods have be...
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07/13/2022
GriddlyJS: A Web IDE for Reinforcement Learning
Progress in reinforcement learning (RL) research is often driven by the ...
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07/11/2022
Grounding Aleatoric Uncertainty in Unsupervised Environment Design
Adaptive curricula in reinforcement learning (RL) have proven effective ...
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03/22/2022
Insights From the NeurIPS 2021 NetHack Challenge
In this report, we summarize the takeaways from the first NeurIPS 2021 N...
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03/02/2022
Evolving Curricula with Regret-Based Environment Design
It remains a significant challenge to train generally capable agents wit...
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02/17/2022
Improving Intrinsic Exploration with Language Abstractions
Reinforcement learning (RL) agents are particularly hard to train when r...
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10/06/2021
Replay-Guided Adversarial Environment Design
Deep reinforcement learning (RL) agents may successfully generalize to n...
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09/27/2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
The progress in deep reinforcement learning (RL) is heavily driven by th...
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02/08/2021
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning
Although reinforcement learning has been successfully applied in many do...
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10/08/2020
Prioritized Level Replay
Simulated environments with procedurally generated content have become p...
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07/17/2020
