Skip to content
conftrace_

Kamil Ciosek

13 papers · 2018–2022 · 6 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 ↓
+6 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (25) πŸ‘‘ Triple Crown
πŸ‘‘ Triple Crown ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (55)

Venues

NeurIPS (4) ICLR (3) ICML (2) JMLR (2) AAAI (1) AISTATS (1)

Top co-authors

Katja Hofmann (4) Sebastian Tschiatschek (3) Cheng Zhang (3) Shimon Whiteson (3) Ryota Tomioka (2) Sam Devlin (2) Quan Vuong (2) Matteo Turchetta (1) Vincent Fortuin (1) Richard Turner (1)

Research topics

Reinforcement Learning (11) Methods (10) Machine Learning (8) Artificial Intelligence (5) Core AI (5) Learning Types Β· Machine Learning (4) Optimization & Theory (4) Deep Learning (3) Learning Types Β· Deep Learning (3) Bayesian & Probabilistic (2) Mathematics & Optimization (1) Application Areas (1) Applications (1) Core Methods (1) Mathematics (1)

Keywords

reinforcement learning (6) continuous control (3) information gain (2) sample efficiency (2) bayesian inference (1) imitation learning (1) temporal difference learning (1) game theory (1) robust optimization (1) fenchel duality (1) domain generalization (1) information bottleneck (1) policy gradient (1) universal approximation (1) robust reinforcement learning (1) fourier analysis (1) bayesian model (1) discount factor (1) policy optimization (1) metric learning (1)

Papers

Imitation Learning by Reinforcement Learning ICLR 2022 Estimating Ξ±-Rank by Maximizing Information Gain AAAI 2021 Information Directed Reward Learning for Reinforcement Learning NeurIPS 2021 Regularized Policies are Reward Robust AISTATS 2021 AMRL: Aggregated Memory For Reinforcement Learning ICLR 2020 Conservative Uncertainty Estimation By Fitting Prior Networks ICLR 2020 Discount Factor as a Regularizer in Reinforcement Learning ICML 2020 Expected Policy Gradients for Reinforcement Learning JMLR 2020 Multi-task Batch Reinforcement Learning with Metric Learning NeurIPS 2020 Robust Reinforcement Learning with Bayesian Optimisation and Quadrature JMLR 2020 Better Exploration with Optimistic Actor Critic NeurIPS 2019 Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck NeurIPS 2019 Fourier Policy Gradients ICML 2018