research
∙
01/31/2023
Transformers Meet Directed Graphs
Transformers were originally proposed as a sequence-to-sequence model fo...
share
research
∙
10/12/2020
Local Search for Policy Iteration in Continuous Control
We present an algorithm for local, regularized, policy improvement in re...
research
∙
06/24/2020
RL Unplugged: Benchmarks for Offline Reinforcement Learning
Offline methods for reinforcement learning have the potential to help br...
research
∙
05/20/2019
A Bayesian Approach to Robust Reinforcement Learning
Robust Markov Decision Processes (RMDPs) intend to ensure robustness wit...
research
∙
04/29/2019
Challenges of Real-World Reinforcement Learning
Reinforcement learning (RL) has proven its worth in a series of artifici...
research
∙
01/30/2019
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement
The ability to transfer skills across tasks has the potential to scale u...
research
∙
12/18/2018