Reading Group

We have a reading group in place that meets every two Friday in the smARTLab.

Date Time Paper
24th January 2020 13.00-14:00 On the Morality of Artificial Intelligence
22th November 2019 13.00-14:00 The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Rethinking the Value of Network Pruning
8th November 2019 13.00-14:00 Connecting Generative Adversarial Networks and Actor-Critic Methods
27th September 2019 13.00-14:00 On Unifying Deep Generative Models
13th September 2019 13.00-14:00 Weight Agnostic Neural Networks
30th August 2019 13.00-14:00 Cooperative and Competitive Reinforcement and Imitation Learning for a Mixture of Heterogeneous Learning Modules
9th August 2019 13.00-14:00 World Models
7th July 2019 13.00-14:00 Neural Logic Reinforcement Learning
7th June 2019 13.00-14:00 Recurrent Value Functions
22nd March 2019 13.00-14:00 Backpropagation through time and the brain
1st February 2019 13.00-14:00 Neural Ordinary Differential Equations
7th December 2018 13.00-14:00 Interactive Perception: Leveraging Action in Perception and Perception in Action
23th November 2018 13.00-14:00 Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
16th November 2018 13.00-14:00 Learning Robot Tactile Sensing for Object Manipulation
19th October 2018 13.00-14:00 Re-evaluating Evaluation
28th September 2018 13.00-14:00 Building Machines That Learn and Think Like People
6th July 2018 13.00-14:00 Deep Reinforcement Learning that Matters
15th June 2018 13.00-14:00 Observe and Look Further: Achieving Consistent Performance on Atari
1st June 2018 13.00-14:00 Learning Explanatory Rules from Noisy Data
11th May 2018 13.00-14:00 Deep Neuroevolution: Genetic Algorithms are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
23rd Mar 2018 13.00-14:00 The Option-Critic Architecture
9th Mar 2018 13.00-14:00 Reinforcement Learning Neural Turing Machines
23rd Feb 2018 13.00-14:00 Efficient behavior learning in human–robot collaboration
26th Jan 2018 11:00-12:00 Robust and Efficient Transfer Learning with Hidden
Parameter Markov Decision Processes
15th Dec 2017 11:00-12:00 Posterior Sampling for Large Scale Reinforcement Learning
8th Dec 2017 12:00-13:00 A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
17th Nov 2017 12:00-13:00 Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards