RLC 2024 Workshop TAFM Submissions

ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization
Chen Bo Calvin Zhang, Zhang-Wei Hong, Aldo Pacchiano, Pulkit Agrawal
- Published: 20 Jun 2024, Last Modified: 07 Aug 2024
- TAFM@RLC 2024
- Readers: Everyone
Collaborative Embodied Reasoning in Autonomous Driving
Oliver Chang, Anuj Ajay Kamat, William Self
- Published: 20 Jun 2024, Last Modified: 07 Aug 2024
- TAFM@RLC 2024
- Readers: Everyone
LLM Policies for Text-based Reinforcement Learning: An Interactive Tutorial
Mauricio Tec
- Published: 07 Aug 2024, Last Modified: 07 Aug 2024
- TAFM@RLC 2024
- Readers: Everyone
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty
Philipp Becker, Niklas Freymuth, Gerhard Neumann
- Published: 20 Jun 2024, Last Modified: 07 Aug 2024
- TAFM@RLC 2024
- Readers: Everyone
Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer
Yu Yang, Pan Xu
- Published: 20 Jun 2024, Last Modified: 07 Aug 2024
- TAFM@RLC 2024
- Readers: Everyone
SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models
Cansu Sancaktar, Christian Gumbsch, Andrii Zadaianchuk, Pavel Kolev, Georg Martius
- Published: 20 Jun 2024, Last Modified: 07 Aug 2024
- TAFM@RLC 2024
- Readers: Everyone
Overcoming Knowledge Barriers: Online Imitation Learning from Observation with Pretrained World Models
Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
- Published: 20 Jun 2024, Last Modified: 07 Aug 2024
- TAFM@RLC 2024
- Readers: Everyone
Towards Interpretable Foundation Models of Robot Behavior: A Task Specific Policy Generation Approach
Isaac S Sheidlower, Reuben M Aronson, Elaine Short
- Published: 20 Jun 2024, Last Modified: 07 Aug 2024
- TAFM@RLC 2024
- Readers: Everyone
Concept-Based Interpretable Reinforcement Learning with Limited to No Human Labels
Zhuorui Ye, Stephanie Milani, Fei Fang, Geoff Gordon
- Published: 20 Jun 2024, Last Modified: 20 Aug 2024
- TAFM@RLC 2024
- Readers: Everyone
Dynamics Generalisation with Behaviour Foundation Models
Scott Jeen, Jonathan Cullen
- Published: 20 Jun 2024, Last Modified: 07 Aug 2024
- TAFM@RLC 2024
- Readers: Everyone
Language Model-In-The-Loop: Data Optimal Approach to Recommend Actions in Text Games
Arjun V Sudhakar, Prasanna Parthasarathi, Janarthanan Rajendran, Sarath Chandar
- Published: 20 Jun 2024, Last Modified: 07 Aug 2024
- TAFM@RLC 2024
- Readers: Everyone
Make the Pertinent Salient: Task-Relevant Reconstruction for Visual Control with Distraction
Kyungmin Kim, Charless Fowlkes, Roy Fox
- Published: 20 Jun 2024, Last Modified: 07 Aug 2024
- TAFM@RLC 2024
- Readers: Everyone
Transformers Learn Temporal Difference Methods for In-Context Reinforcement Learning
Jiuqi Wang, Ethan H Blaser, Hadi Daneshmand, Shangtong Zhang
- Published: 20 Jun 2024, Last Modified: 07 Aug 2024
- TAFM@RLC 2024
- Readers: Everyone
Policy Learning with a Language Bottleneck
Megha Srivastava, Cédric Colas, Dorsa Sadigh, Jacob Andreas
- Published: 20 Jun 2024, Last Modified: 07 Aug 2024
- TAFM@RLC 2024
- Readers: Everyone
Informing Reinforcement Learning Agents by Grounding Language to Markov Decision Processes
Benjamin Adin Spiegel, Ziyi Yang, William Jurayj, Ben Bachmann, Stefanie Tellex, George Konidaris
- Published: 20 Jun 2024, Last Modified: 07 Aug 2024
- TAFM@RLC 2024
- Readers: Everyone
From Observation to Abstractions: Efficient In-Context Learning from Human Feedback and Visual Demonstrations for VLM Agents
Gabriel Herbert Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki
- Published: 20 Jun 2024, Last Modified: 07 Aug 2024
- TAFM@RLC 2024
- Readers: Everyone
Skill-Based Reinforcement Learning with Intrinsic Reward Matching
Ademi Adeniji, Amber Xie, Pieter Abbeel
- Published: 20 Jun 2024, Last Modified: 07 Aug 2024
- TAFM@RLC 2024
- Readers: Everyone
Language Reward Modulation for Pretraining Reinforcement Learning
Ademi Adeniji, Amber Xie, Carmelo Sferrazza, Younggyo Seo, Stephen James, Pieter Abbeel
- Published: 20 Jun 2024, Last Modified: 07 Aug 2024
- TAFM@RLC 2024
- Readers: Everyone