activity
20142026
most citedTowards Moral Autonomous Systems

46 citations · 51 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AI2026

Decision Titan: Test-Time Training for Long-Term Memory in Offline Reinforcement Learning

Jude Waide, Robert Lieck

Long-term dependencies remain a major challenge for sequential decision-making in the field of AI: RNNs suffer from vanishing gradients and the limited expressivity of vector-based…

cs.CV2024

Adaptive Graph Learning from Spatial Information for Surgical Workflow Anticipation

Francis Xiatian Zhang, Jingjing Deng, Robert Lieck +1

Surgical workflow anticipation is the task of predicting the timing of relevant surgical events from live video data, which is critical in Robotic-Assisted Surgery (RAS). Accurate…

cs.LG2024

Planning Transformer: Long-Horizon Offline Reinforcement Learning with Planning Tokens

Joseph Clinton, Robert Lieck

Supervised learning approaches to offline reinforcement learning, particularly those utilizing the Decision Transformer, have shown effectiveness in continuous environments and for…

cs.LG2021★ 1 cited

Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks

Robert Lieck, Martin Rohrmeier

Probabilistic context-free grammars (PCFGs) and dynamic Bayesian networks (DBNs) are widely used sequence models with complementary strengths and limitations. While PCFGs allow for…

cs.AI2017★ 46 cited

Towards Moral Autonomous Systems

Vicky Charisi, Louise Dennis, Michael Fisher +6

Both the ethics of autonomous systems and the problems of their technical implementation have by now been studied in some detail. Less attention has been given to the areas in whic…

stat.ML2014★ 4 cited

The Advantage of Cross Entropy over Entropy in Iterative Information Gathering

Johannes Kulick, Robert Lieck, Marc Toussaint

Gathering the most information by picking the least amount of data is a common task in experimental design or when exploring an unknown environment in reinforcement learning and ro…