RLC 2024 Conference Submissions

Zero-shot cross-modal transfer of Reinforcement Learning policies through a Global Workspace
Léopold Maytié, Benjamin Devillers, Alexandre Arnold, Rufin VanRullen
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Offline Diversity Maximization under Imitation Constraints
Marin Vlastelica, Jin Cheng, Georg Martius, Pavel Kolev
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Policy Gradient Algorithms with Monte Carlo Tree Learning for Non-Markov Decision Processes
Tetsuro Morimura, Kazuhiro Ota, Kenshi Abe, Peinan Zhang
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Dreaming of Many Worlds: Learning Contextual World Models aids Zero-Shot Generalization
Sai Prasanna, Karim Farid, Raghu Rajan, André Biedenkapp
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
An Idiosyncrasy of Time-discretization in Reinforcement Learning
Kris De Asis, Richard S. Sutton
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
Bin Hu, Chenyang Zhao, Pu Zhang, Zihao Zhou, Yuanhang Yang, Zenglin Xu, Bin Liu
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Tiered Reward: Designing Rewards for Specification and Fast Learning of Desired Behavior
Zhiyuan Zhou, Shreyas Sundara Raman, Henry Sowerby, Michael Littman
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
A Natural Extension To Online Algorithms For Hybrid RL With Limited Coverage
Kevin Tan, Ziping Xu
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Reinforcement Learning from Human Feedback without Reward Inference: Model-Free Algorithm and Instance-Dependent Analysis
Qining Zhang, Honghao Wei, Lei Ying
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling
Haque Ishfaq, Yixin Tan, Yu Yang, Qingfeng Lan, Jianfeng Lu, A. Rupam Mahmood, Doina Precup, Pan Xu
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Constant Stepsize Q-learning: Distributional Convergence, Bias and Extrapolation
Yixuan Zhang, Qiaomin Xie
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Inverse Reinforcement Learning with Multiple Planning Horizons
Jiayu Yao, Weiwei Pan, Finale Doshi-Velez, Barbara E Engelhardt
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
On Welfare-Centric Fair Reinforcement Learning
Cyrus Cousins, Kavosh Asadi, Elita Lobo, Michael Littman
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Aquatic Navigation: A Challenging Benchmark for Deep Reinforcement Learning
Davide Corsi, Davide Camponogara, Alessandro Farinelli
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Mixture of Experts in a Mixture of RL settings
Timon Willi, Johan Samir Obando Ceron, Jakob Nicolaus Foerster, Gintare Karolina Dziugaite, Pablo Samuel Castro
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Value Internalization: Learning and Generalizing from Social Reward
Frieda Rong, Max Kleiman-Weiner
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
On the consistency of hyper-parameter selection in value-based deep reinforcement learning
Johan Samir Obando Ceron, João Guilherme Madeira Araújo, Aaron Courville, Pablo Samuel Castro
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Demystifying the Recency Heuristic in Temporal-Difference Learning
Brett Daley, Marlos C. Machado, Martha White
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Dissecting Deep RL with High Update Ratios: Combatting Value Divergence
Marcel Hussing, Claas A Voelcker, Igor Gilitschenski, Amir-massoud Farahmand, Eric Eaton
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning
Marcel Hussing, Jorge Mendez-Mendez, Anisha Singrodia, Cassandra Kent, Eric Eaton
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Exploring Uncertainty in Distributional Reinforcement Learning
Georgy Antonov, Peter Dayan
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Sequential Decision-Making for Inline Text Autocomplete
Rohan Chitnis, Shentao Yang, Alborz Geramifard
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors
Emma Cramer, Bernd Frauenknecht, Ramil Sabirov, Sebastian Trimpe
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
Multistep Inverse Is Not All You Need
Alexander Levine, Peter Stone, Amy Zhang
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone
The Cliff of Overcommitment with Policy Gradient Step Sizes
Scott M. Jordan, Samuel Neumann, James E. Kostas, Adam White, Philip S. Thomas
- Published: 15 May 2024, Last Modified: 14 Nov 2024
- RLC 2024
- Readers: Everyone