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Department of Information Technology

SysCon reinforcement learning reading group

A weekly reinforcement learning reading group. We take turns picking a paper to read each week, which we then discuss together. Each session is 1h. Sessions are typically on Fridays, in room 103253.

We also communicate in #reading_rl channel on the SysCon slack.

Contact person: Ruoqi Zhang.

Paper List 2023

Week Paper Venue Available Code
24 Efficient Deep Reinforcement Learning Requires Regulating Overfitting ICLR 2023
22 Planning with Diffusion for Flexible Behavior Synthesis ICML 2022
21 Explainable Reinforcement Learning through a Causal Lens AAAI 2020
18 DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning Neurips 2022 Official Code
17 Safe Reinforcement Learning With Stability Guarantee for Motion Planning of Autonomous Vehicles IEEE 2021
15 Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting IEEE 2012
14 Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Annual Review 2022
12 When to Update Your Model: Constrained Model-based Reinforcement Learning NeurIPS 2022
10 Neural Dynamic Policies for End-to-End Sensorimotor Learning Neurips 2020 Official Code
8 Risk-Averse Bayes-Adaptive Reinforcement Learning NeurIPS 2021
7 Learning Latent Dynamics for Planning from Pixels ICML 2019 Official Code
5 Mastering Diverse Domains through World Models Arxiv 2023 Official Code
4 Curiosity in Hindsight Neurips 2022
3 Proximal Policy Optimization Algorithms Arxiv 2017 Stable Baselines 3
2 Model-Predictive Planning via Cross-Entropy and Gradient-Based Optimization L4DC 2020 Official Code
1 Decision Transformer: Reinforcement Learning via Sequence Modeling NeurIPS 2021 Official Code
Updated  2023-06-20 13:57:21 by Ruoqi Zhang.