Section outline
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Successful course completion will be assessed by either a seminar or a coding project.
Final course seminars will be discussed by SSSA students on Wednsday the 21st of October 2020, h. 14.30-18.30
Discussions will be on aired on Ms Teams.
The program for the discussion day is the following (subject to last minute change in presentation ordering).
14.30 - Federico Dragoni, Q-learning
14.55 - Lorenzo Ferrini, Proximal Policy Optimization Algorithms
15.20 - Mario Bonsembiante, Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables
15.45 - Christian Esposito, Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
16.10 - Marco Biasizzo, SQIL - Imitation Learning via Reinforcement Learning with Sparse Rewards
16.35 - Daniele Morra, Learning Body Shape Variation in Physics-based Characters
17.00 - Luca Girardi, Cooperative Multi-Agent Control Using Deep Reinforcement Learning
17.25 - Leonardo Lai, Control of a Quadrotor with Reinforcement Learning