RLC 2024 Conference Submissions

SwiftTD: A Fast and Robust Algorithm for Temporal Difference Learning
Khurram Javed, Arsalan Sharifnassab, Richard S. Sutton
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
A Provably Efficient Option-Based Algorithm for both High-Level and Low-Level Learning
Gianluca Drappo, Alberto Maria Metelli, Marcello Restelli
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Best Response Shaping
Milad Aghajohari, Tim Cooijmans, Juan Agustin Duque, Shunichi Akatsuka, Aaron Courville
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
An Optimal Tightness Bound for the Simulation Lemma
Sam Lobel, Ronald Parr
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Informed POMDP: Leveraging Additional Information in Model-Based RL
Gaspard Lambrechts, Adrien Bolland, Damien Ernst
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies
Yu Luo, Fuchun Sun, Tianying Ji, Xianyuan Zhan
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
Ho Long Fung, Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement Learning
Zakariae EL ASRI, Olivier Sigaud, Nicolas THOME
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
The Limits of Pure Exploration in POMDPs: When the Observation Entropy is Enough
Riccardo Zamboni, Duilio Cirino, Marcello Restelli, Mirco Mutti
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Policy Gradient with Active Importance Sampling
Matteo Papini, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Three Dogmas of Reinforcement Learning
David Abel, Mark K Ho, Anna Harutyunyan
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Harnessing Discrete Representations for Continual Reinforcement Learning
Edan Jacob Meyer, Adam White, Marlos C. Machado
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
ROIL: Robust Offline Imitation Learning without Trajectories
Gersi Doko, Guang Yang, Daniel S. Brown, Marek Petrik
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization
Yudong Luo, Yangchen Pan, Han Wang, Philip Torr, Pascal Poupart
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Mitigating the Curse of Horizon in Monte-Carlo Returns
Alex Ayoub, David Szepesvari, Francesco Zanini, Bryan Chan, Dhawal Gupta, Bruno Castro da Silva, Dale Schuurmans
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement Learning
Adriana Hugessen, Roger Creus Castanyer, Faisal Mohamed, Glen Berseth
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning
Trevor McInroe, Adam Jelley, Stefano V Albrecht, Amos Storkey
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Multi-view Disentanglement for Reinforcement Learning with Multiple Cameras
Mhairi Dunion, Stefano V Albrecht
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Learning to Optimize for Reinforcement Learning
Qingfeng Lan, A. Rupam Mahmood, Shuicheng YAN, Zhongwen Xu
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
A Tighter Convergence Proof of Reverse Experience Replay
Nan Jiang, Jinzhao Li, Yexiang Xue
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
SplAgger: Split Aggregation for Meta-Reinforcement Learning
Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Zheng Xiong, Shimon Whiteson
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments
Quentin Delfosse, Jannis Blüml, Bjarne Gregori, Sebastian Sztwiertnia, Kristian Kersting
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy Optimization
Aditya Kapoor, Benjamin Freed, Jeff Schneider, Howie Choset
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Cyclicity-Regularized Coordination Graphs
Oliver Järnefelt, Mahdi Kallel, Carlo D'Eramo
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Learning Action-based Representations Using Invariance
Max Rudolph, Caleb Chuck, Kevin Black, Misha Lvovsky, Scott Niekum, Amy Zhang
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone