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03/23/2023
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition
To facilitate research in the direction of fine-tuning foundation models...
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01/25/2023
Imitating Human Behaviour with Diffusion Models
Diffusion models have emerged as powerful generative models in the text-...
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05/18/2022
A2C is a special case of PPO
Advantage Actor-critic (A2C) and Proximal Policy Optimization (PPO) are ...
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05/14/2022
GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters
Playing games with cheaters is not fun, and in a multi-billion-dollar vi...
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04/14/2022
Retrospective on the 2021 BASALT Competition on Learning from Human Feedback
We held the first-ever MineRL Benchmark for Agents that Solve Almost-Lif...
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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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02/17/2022
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
Reinforcement learning competitions advance the field by providing appro...
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01/24/2022
Optimizing Tandem Speaker Verification and Anti-Spoofing Systems
As automatic speaker verification (ASV) systems are vulnerable to spoofi...
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07/05/2021
Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems
Humans and other intelligent animals evolved highly sophisticated percep...
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07/05/2021
The MineRL BASALT Competition on Learning from Human Feedback
The last decade has seen a significant increase of interest in deep lear...
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07/01/2021
Distilling Reinforcement Learning Tricks for Video Games
Reinforcement learning (RL) research focuses on general solutions that c...
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06/07/2021
Towards robust and domain agnostic reinforcement learning competitions
Reinforcement learning competitions have formed the basis for standard r...
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04/21/2021
Multi-task Learning with Attention for End-to-end Autonomous Driving
Autonomous driving systems need to handle complex scenarios such as lane...
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04/01/2021
Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search
We present AlphaChute: a state-of-the-art algorithm that achieves superh...
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12/02/2020
Policy Supervectors: General Characterization of Agents by their Behaviour
By studying the underlying policies of decision-making agents, we can le...
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05/07/2020
Playing Minecraft with Behavioural Cloning
MineRL 2019 competition challenged participants to train sample-efficien...
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04/02/2020
Benchmarking End-to-End Behavioural Cloning on Video Games
Behavioural cloning, where a computer is taught to perform a task based ...
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04/02/2020
Action Space Shaping in Deep Reinforcement Learning
Reinforcement learning (RL) has been successful in training agents in va...
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02/06/2020
An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learning
The spoofing countermeasure (CM) systems in automatic speaker verificati...
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07/06/2019
Towards Debugging Deep Neural Networks by Generating Speech Utterances
Deep neural networks (DNN) are able to successfully process and classify...
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05/10/2019
Do Autonomous Agents Benefit from Hearing?
Mapping states to actions in deep reinforcement learning is mainly based...
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05/02/2019
From Video Game to Real Robot: The Transfer between Action Spaces
Training agents with reinforcement learning based techniques requires th...
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11/08/2018
Who Do I Sound Like? Showcasing Speaker Recognition Technology by YouTube Voice Search
The popularization of science can often be disregarded by scientists as ...
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07/26/2018
ToriLLE: Learning Environment for Hand-to-Hand Combat
We present Toribash Learning Environment (ToriLLE), an interface with vi...
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04/24/2018
Perceptual Evaluation of the Effectiveness of Voice Disguise by Age Modification
Voice disguise, purposeful modification of one's speaker identity with t...
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09/16/2016
