1 citations · 2 across the 6 of their papers we have counts for
6 papers
Hey Chat, Can You Teach Me? Structuring Socratic Dialogue for Human Learning in the Wild
Sidney Tio, Arunesh Sinha, Pradeep Varakantham
Large language models are now widely used for everyday learning, but the underlying interactions are typically unstructured chats rather than following a curriculum. Unlike formal…
Efficient Unsupervised Environment Design through Hierarchical Policy Representation Learning
Dexun Li, Sidney Tio, Pradeep Varakantham
Unsupervised Environment Design (UED) has emerged as a promising approach to developing general-purpose agents through automated curriculum generation. Popular UED methods focus on…
EduQate: Generating Adaptive Curricula through RMABs in Education Settings
Sidney Tio, Dexun Li, Pradeep Varakantham
There has been significant interest in the development of personalized and adaptive educational tools that cater to a student's individual learning progress. A crucial aspect in de…
Training Reinforcement Learning Agents and Humans With Difficulty-Conditioned Generators
Sidney Tio, Jimmy Ho, Pradeep Varakantham
We adapt Parameterized Environment Response Model (PERM), a method for training both Reinforcement Learning (RL) Agents and human learners in parameterized environments by directly…
Transferable Curricula through Difficulty Conditioned Generators
Sidney Tio, Pradeep Varakantham
Advancements in reinforcement learning (RL) have demonstrated superhuman performance in complex tasks such as Starcraft, Go, Chess etc. However, knowledge transfer from Artificial…
Improving Multi-Agent Cooperation using Theory of Mind
Terence X. Lim, Sidney Tio, Desmond C. Ong
Recent advances in Artificial Intelligence have produced agents that can beat human world champions at games like Go, Starcraft, and Dota2. However, most of these models do not see…