Update index.md

index.md

@@ -148,7 +148,7 @@ Large language models (LLMs) have revolutionized a wide range of domains. In par
 | Oct 7 | **Compound AI Systems & the DSPy Framework** <br> Omar Khattab, Databricks <br> [Livestream](https://www.youtube.com/live/JEMYuzrKLUw) <a href="https://rdi.berkeley.edu/llm-agents-mooc/slides/dspy_lec.pdf">Slides</a> [Quiz 5](https://forms.gle/tXzmfgTsdYW5XjLL6) | - [Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs](https://arxiv.org/abs/2406.11695) <br> - [Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together](https://arxiv.org/abs/2407.10930)  |          
 | Oct 14 | **Agents for Software Development** <br> Graham Neubig, Carnegie Mellon University <br> [Livestream](https://www.youtube.com/live/f9L9Fkq-8K4) <a href="https://rdi.berkeley.edu/llm-agents-mooc/slides/neubig24softwareagents.pdf">Slides</a> [Quiz 6](https://forms.gle/v4AD4vFYCjdK9qeDA) | - [SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering](https://arxiv.org/abs/2405.15793) <br> - [OpenHands: An Open Platform for AI Software Developers as Generalist Agents](https://arxiv.org/abs/2407.16741) |          
 | Oct 21 | **AI Agents for Enterprise Workflows** <br> Nicolas Chapados, ServiceNow <br> [Livestream](https://www.youtube.com/live/-yf-e-9FvOc) <a href="https://rdi.berkeley.edu/llm-agents-mooc/slides/agentworkflows.pdf">Slides</a> [Quiz 7](https://forms.gle/VWpd1q23PBFptVCe8) | - [WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?](https://arxiv.org/abs/2403.07718) <br> - [WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks](https://arxiv.org/abs/2407.05291) <br> - <a href="https://rdi.berkeley.edu/llm-agents-mooc/assets/tapeagents.pdf">TapeAgents: a Holistic Framework for Agent Development and Optimization</a>  |          
-| Oct 28 | **Towards a unified framework of Neural and Symbolic Decision Making** <br> Yuandong Tian, Meta AI (FAIR) <br> [Livestream](https://www.youtube.com/live/wm9-7VBpdEo) | - [Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping](https://arxiv.org/abs/2402.14083) <br> - [Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces](https://arxiv.org/abs/2410.09918v1) <br> - [Composing Global Optimizers to Reasoning Tasks via Algebraic Objects in Neural Nets](https://arxiv.org/abs/2410.01779) <br> - [SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems](https://arxiv.org/abs/2210.12547) |          
+| Oct 28 | **Towards a unified framework of Neural and Symbolic Decision Making** <br> Yuandong Tian, Meta AI (FAIR) <br> [Livestream](https://www.youtube.com/live/wm9-7VBpdEo) <a href="https://rdi.berkeley.edu/llm-agents-mooc/slides/102824-yuandongtian.pdf">Slides</a> | - [Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping](https://arxiv.org/abs/2402.14083) <br> - [Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces](https://arxiv.org/abs/2410.09918v1) <br> - [Composing Global Optimizers to Reasoning Tasks via Algebraic Objects in Neural Nets](https://arxiv.org/abs/2410.01779) <br> - [SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems](https://arxiv.org/abs/2210.12547) |          
 | Nov 4 | **Foundation Agent** <br> Jim Fan, NVIDIA | - [Voyager: An Open-Ended Embodied Agent with Large Language Models](https://voyager.minedojo.org/) <br> - [Eureka: Human-Level Reward Design via Coding Large Language Models](https://eureka-research.github.io/) <br> - [DrEureka: Language Model Guided Sim-To-Real Transfer](https://eureka-research.github.io/dr-eureka/) |          
 | Nov 11 | **No Class - Veteran's Day** |          |          
 | Nov 18 | **Cybersecurity, agents, and open-source** <br> Percy Liang, Stanford University |  |