curriculum
Improving Environment Novelty Quantification for Effective Unsupervised Environment Design
Unsupervised Environment Design (UED) formalizes the problem of autocur-ricula through interactive training between a teacher agent and a student agent. The teacher generates new training environments with high learning potential, curating an adaptive curriculum that strengthens the student's ability to handle unseen scenarios. Existing UED methods mainly rely on regret, a metric that measures the difference between the agent's optimal and actual performance, to
- Asia > Singapore (0.04)
- North America > United States (0.04)
- South America > Brazil (0.04)
- (18 more...)
- Research Report > New Finding (1.00)
- Research Report > Experimental Study (0.93)
- Leisure & Entertainment > Sports > Motorsports (0.46)
- Education > Educational Technology > Educational Software (0.34)
- Education > Educational Setting > Online (0.34)
- Information Technology > Data Science > Data Mining (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.46)
Appendix
We provide more information on AIPS' deductive engine and the training process for the value network. To highlight the reasoning ability and maintain readability of proofs, we avoid using brute-force methods such as augmentation-substitution and Wu's method Wu [1978].
- North America > United States (0.14)
- Asia > Japan (0.04)
- Europe > Poland (0.04)
Curriculum Learning with Infant Egocentric Videos
Infants possess a remarkable ability to rapidly learn and process visual inputs.
- Health & Medicine > Therapeutic Area > Neurology (0.94)
- Education (0.93)
Information Maximizing Curriculum: A Curriculum-Based Approach for Imitating Diverse Skills Denis Blessing
Imitation learning uses data for training policies to solve complex tasks.
- Europe > Germany > Baden-Württemberg > Karlsruhe Region > Karlsruhe (0.04)
- North America > United States > Illinois > Cook County > Chicago (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Asia > Middle East > Jordan (0.04)
- North America > United States > Wisconsin (0.04)
- North America > United States > Texas (0.04)
- North America > United States > New Jersey > Mercer County > Princeton (0.04)
- North America > United States > Georgia > Fulton County > Atlanta (0.04)
- North America > United States > Minnesota > Hennepin County > Minneapolis (0.14)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Asia > Middle East > Israel > Tel Aviv District > Tel Aviv (0.04)
- (2 more...)
- Research Report (1.00)
- Workflow (0.68)
Unsupervised Curricula for Visual Meta-Reinforcement Learning
Allan Jabri, Kyle Hsu, Abhishek Gupta, Ben Eysenbach, Sergey Levine, Chelsea Finn
Neural Information Processing Systems http://nips.cc/
- North America > Canada > Ontario > Toronto (0.14)
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
- Europe > Germany > North Rhine-Westphalia > Upper Bavaria > Munich (0.04)
- Research Report (0.46)
- Instructional Material > Course Syllabus & Notes (0.40)
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks
Jiong Zhang, Hsiang-Fu Yu, Inderjit S. Dhillon
Neural Information Processing Systems http://nips.cc/
- North America > United States > Texas > Travis County > Austin (0.04)
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
- North America > Canada (0.04)
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum
Shreyas Saxena, Oncel Tuzel, Dennis DeCoste
Neural Information Processing Systems http://nips.cc/
- Research Report (0.46)
- Overview (0.46)
- Information Technology > Artificial Intelligence > Representation & Reasoning (0.71)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.70)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.48)
- Information Technology > Artificial Intelligence > Machine Learning > Inductive Learning (0.46)