Skip to content
conftrace_

Daniel Mankowitz

3 papers · 2014–2019 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓
+1 more ↓ 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird
πŸš€ Conference Pioneer

Venues

ICML (2) UAI (1)

Top co-authors

Shie Mannor (2) Timothy Mann (2) Andre Barreto (1) David Silver (1) Tom Schaul (1) Diana Borsa (1) Augustin Zidek (1) Esther Derman (1) Matteo Hessel (1) John Quan (1)

Research topics

Artificial Intelligence (3) Machine Learning (3) Reinforcement Learning (3) Learning Types (3) Methods (3) Core AI (2) Optimization & Theory (2) Bayesian & Probabilistic (1) Learning Paradigms (1)

Keywords

deep reinforcement learning (1) reinforcement learning (1) bayesian learning (1) transfer learning (1) model misspecification (1) robust reinforcement learning (1) skill discovery (1) reward function (1) policy improvement (1) temporal abstraction (1) bellman operator (1) uncertainty set (1) robust markov decision process (1) successor feature (1) deep q-network (1) option framework (1) skill transfer (1) safe exploration (1) skill hierarchy (1) uncertainty robust bellman equation (1)

Papers

A Bayesian Approach to Robust Reinforcement Learning UAI 2019 Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement ICML 2018 Time-Regularized Interrupting Options (TRIO) ICML 2014