01:04:32
Dynamic Deep Learning | Richard Sutton
01:00:23
LLMs as Creativity Support Tool for Live Artistic Performance | Piotr Mirowski
59:08
Real-world Reinforcement Learning in Multi-Agent Systems | Eugene Vinitsky
48:42
Exploring the Space of Key-Value-Query Models with Intention | Marta Garnelo
34:55
Genie: Generative Interactive Environments | Jake Bruce
55:49
Exploring Alternative Bio-Inspired Neural Building Blocks for Fast RL | Sebastian Risi
59:08
Champion-Level Drone Racing using Deep Reinforcement Learning | Leonard Bauersfeld
58:20
Memory-Enhanced Neural Solvers for Efficient Adaptation in Combinatorial Optim. | Félix Chalumeau
01:02:35
Understanding Incremental Unsupervised Exploration for Goal-based RL | Alessandro Lazaric
50:41
AlphaDev | Daniel Mankowitz and Andrea Michi
56:29
Resurrecting Recurrent Neural Networks for Long Sequences | Razvan Pascanu
01:04:03
A Comparative Cognition Approach to AI Evaluation | Lucy Cheke
01:00:29
Passive Learning of Active Causal Strategies in Agents and Language Models | Andrew Lampinen
57:18
Towards Ad-Hoc Teamwork for Improved Player Experience | Sam Devlin
58:51
How knowing language can make general AI systems smarter | Felix Hill
01:12:02
Outracing champion Gran Turismo drivers with Deep Reinforcement Learning | Florian Fuchs
01:01:40
Symmetries in Single and Multi-agent Learning and AI4Science | Elise van der Pol
01:04:29
The NetHack Learning Environment and Its Challenges for Open-Ended Learning | Tim Rocktäeschel
01:03:27
Understanding and Improving Model-Based Deep Reinforcement Learning | Jessica Hamrick
58:55
High-Dimensional Black-Box Optimisation in Small Data Regimes | Haitham Bou Ammar
57:12
Towards Multi-agent Emergent Communication | Angeliki Lazaridou
01:27:00
Zero-Shot Coordination and Off-Belief Learning | Jakob Foerster
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About
Imperial College Autonomous Reasoning & Learning Group
We host prominent researchers working on topics related to Reasoning and Reinforcement Learning.
Co-organized by @borruell and @afspies
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