Overview
The NeurIPS 2019 Workshop on Biological and Artificial Reinforcement Learning has extended its submission deadline, inviting researchers to contribute their work in this evolving field. This workshop aims to explore the intersections between biological learning processes and artificial reinforcement learning systems, fostering discussions that could lead to innovative approaches and insights.
Background & Relevance
Reinforcement learning (RL) is a crucial area of research in both artificial intelligence and cognitive science. Understanding how biological systems learn and adapt can provide valuable insights into designing more effective artificial agents. This workshop serves as a platform for researchers to share their findings and methodologies, particularly in comparing biological and artificial agents. The relevance of this workshop is underscored by the growing interest in integrating insights from neuroscience into machine learning frameworks.
Key Details
- Submission Deadline: September 10, 2019, 11:59 PM Pacific Time
- Location: NeurIPS 2019
- Topics of Interest:
- Benchmark tasks comparing artificial and biological agents
- Hierarchical reinforcement learning and skill acquisition
- Inductive biases and prior knowledge
- Representations in reinforcement learning
- Model-based vs. model-free learning
- Lifelong learning strategies
- Intrinsic motivation and learning without external rewards
- The role of memory in learning processes
- Submission Link: CMT Submission
Eligibility & Participation
This call for papers is open to researchers in the fields of reinforcement learning, neuroscience, and cognitive science. The workshop encourages submissions of original work that has not been presented at the main NeurIPS conference but is open to published work from other relevant venues, especially those focused on neuroscience or cognitive science.
Submission or Application Guidelines
To submit your paper, please follow these steps:
1. Prepare your manuscript in the NeurIPS 2019 format, ensuring it does not exceed five pages, excluding references and appendices.
2. Submit your paper via the provided link before the deadline.
3. For any inquiries, contact the organizers at BiologicalArtificialRL@gmail.com.
Additional Context / Real-World Relevance
The integration of biological insights into artificial intelligence has the potential to revolutionize the way we approach machine learning. By understanding how biological systems operate, researchers can develop more robust and adaptive AI systems. This workshop is an important step towards bridging these two domains, encouraging collaboration and knowledge exchange.
Conclusion
Researchers and practitioners in the fields of reinforcement learning and cognitive science are encouraged to participate in this workshop. It presents a unique opportunity to contribute to the dialogue on biological and artificial learning systems. Don’t miss the chance to submit your work and engage with fellow researchers at NeurIPS 2019.
Category: CFP & Deadlines
Tags: reinforcement learning, neuroscience, cognitive science, neural networks, machine learning, artificial intelligence, hierarchical rl, lifelong learning
