CALL FOR PAPERS (apologies for cross-postings, please forward to anybody who might be interested)
The 15th European Workshop on Reinforcement Learning (EWRL 2022)
Dates: 19 September 2022 – 21 September 2022
Location: Aula De Carli - Politecnico di Milano - Campus Bovisa
Via Candiani, 72 - 20158 - Milano (MI) - Italy
We invite submissions for the 15th European Workshop on Reinforcement Learning (EWRL 2022) from the entire reinforcement learning spectrum. The papers can present new work or give a summary of the recent work of the author(s). There will be no proceedings of EWRL15. As such, papers that are intended for or have been submitted to other conferences or journals are also welcome. Submitted papers will be reviewed by the program committee in a double-blind procedure. All accepted papers will be considered for the poster sessions. Outstanding papers will also be considered for a 20 minutes oral presentation.
Currently, we are planning on EWRL 2022 being a physical event.
Important Dates
Paper Submission Deadline: 1 June 2022
Author Notification: 14 July 2022
Camera Ready Sumbission: 1 September 2022
The deadline on each of these dates is 23:59 (AoE).
More information: https://ewrl.wordpress.com/ewrl15-2022/
Description
The 15th European Workshop on Reinforcement Learning (EWRL 2022) invites reinforcement learning researchers to participate in this new edition of this world-class event. We plan to make this an exciting event for researchers worldwide, not only for the presentation of top-quality papers but also as a forum for ample discussion of open problems and future research directions.
Reinforcement learning is an active field of research that deals with the problem of sequential decision-making in unknown (and often) stochastic and/or partially observable environments. Recently there has been a wealth of both impressive empirical results as well as significant theoretical advances. Both types of advances are of significant importance, and we would like to create a forum to discuss such interesting results.
The workshop will cover a range of sub-topics including (but not limited to):
MDPs and Dynamic Programming
Temporal Difference Methods
Policy Optimization
Model-based RL and Planning
Exploration in RL
Offline RL
Unsupervised and Intrinsically Motivated RL
Representation Learning in RL
Lifelong and Non-stationary RL
Hierarchical RL
Partially Observable RL
Multi-Agent RL
Multi-Objective RL
Transfer and Meta RL
Deep RL
Imitation Learning and Inverse RL
Risk-sensitive and robust RL
Theoretical aspects of RL
Applications and Real-life RL