*************************************************************************************************
The 13th European Workshop on Reinforcement Learning (EWRL 2016)
Dates: December 3-4 2016
Location: Pompeu Fabra University, Barcelona, Spain (co-located with NIPS)
http://ewrl.wordpress.com/ewrl13-2016/
*************************************************************************************************
Want to enjoy a two-day workshop on Reinforcement Learning, without the
stress of the many NIPS parallel sessions? Look no further!
1. Paper Submission
We invite submissions from the entire reinforcement learning spectrum.
Authors can submit a 2-6 pages paper in JMLR format (excluding
references) that will be reviewed by the program committee in a
double-blind procedure. The papers can present new work or give a
summary of recent work of the author(s). All papers will be considered
for the poster sessions. Outstanding long papers (4-6 pages) will also
be considered for a 20 minutes oral presentation. Accepted papers are
going to be published in an arxiv.org collection.
Submission deadline: 16/09/2016
Notification: 04/10/2016
Page limit: 2-6 pages excluding references.
Paper format: JMLR format, anonymous.
Submission website: https://easychair.org/conferences/?conf=ewrl2016
2. Description
The 13th European workshop on reinforcement learning (EWRL 2016) invites
reinforcement-learning researchers to participate in the newest edition
of this world class event. We plan to make this an exciting meeting 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. EWRL 2016 will consist of 11+ invited talks,
contributed paper presentations, discussion sessions spread over a two
day period, and a poster session.
Reinforcement learning is an active field of research which 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):
- Exploration/Exploitation and multi-armed bandits
- Deep RL
- Representation learning for RL
- Large-scale RL
- Theoretical aspects of RL
- Policy search and actor-critic methods
- Online learning algorithms
- RL in non-stationary environments
- Risk-sensitive RL
- Transfer and Multi-task RL
- Empirical evaluations in RL
- Kernel methods for RL
- RL in partially observable environments
- Imitation learning and Inverse RL
- Bayesian RL
- Multi agent RL
- Applications of RL
- Open problems
3. Organizing Committee
Gergely Neu
Vicenç Gómez
Csaba Szepesvári
For more information, see https://ewrl.wordpress.com/ewrl13-2016/
_______________________________________________
uai mailing list
uai@ENGR.ORST.EDU
https://secure.engr.oregonstate.edu/mailman/listinfo/uai
