Update README.md to include links for environment documentation and correct paths for various sections (#898)

Author: jdblackstar

README.md

@@ -36,7 +36,7 @@ Verifiers: Environments for LLM Reinforcement Learning
 
 - [01/08/26] v0.1.9 is released, featuring a number of new experimental environment class types, monitor rubrics for automatic metric collection, improved workspace setup flow, improved error handling, bug fixes, and a documentation overhaul.
 - [11/19/25] v0.1.8 is released, featuring a major refactor of the rollout system to use trajectory-based tracking for token-in token-out training across turns, as well as support for truncated or branching rollouts.
-- [11/07/25] Verifiers v0.1.7 is released! This includes an improved quickstart configuration for training with [prime-rl], a new included "nano" trainer (`vf.RLTrainer`, replacing `vf.GRPOTrainer`), and a number of bug fixes and improvements to the documentation.
+- [11/07/25] Verifiers v0.1.7 is released! This includes an improved quickstart configuration for training with [prime-rl](https://github.com/PrimeIntellect-ai/prime-rl), a new included "nano" trainer (`vf.RLTrainer`, replacing `vf.GRPOTrainer`), and a number of bug fixes and improvements to the documentation.
 - [10/27/25] A new iteration of the Prime Intellect [Environments Program](https://docs.google.com/spreadsheets/d/13UDfRDjgIZXsMI2s9-Lmn8KSMMsgk2_zsfju6cx_pNU/edit?gid=0#gid=0) is live!  
 
 
@@ -159,17 +159,17 @@ prime eval run primeintellect/math-python
 
 ## Documentation
 
-**[Environments](environments.md)** — Create datasets, rubrics, and custom multi-turn interaction protocols.
+**[Environments](docs/environments.md)** — Create datasets, rubrics, and custom multi-turn interaction protocols.
 
-**[Evaluation](evaluation.md)** - Evaluate models using your environments.
+**[Evaluation](docs/evaluation.md)** - Evaluate models using your environments.
 
-**[Training](training.md)** — Train models in your environments with reinforcement learning.
+**[Training](docs/training.md)** — Train models in your environments with reinforcement learning.
 
-**[Development](development.md)** — Contributing to verifiers
+**[Development](docs/development.md)** — Contributing to verifiers
 
-**[API Reference](reference.md)** — Understanding the API and data structures
+**[API Reference](docs/reference.md)** — Understanding the API and data structures
 
-**[FAQs](faqs.md)** - Other frequently asked questions.
+**[FAQs](docs/faqs.md)** - Other frequently asked questions.
 
 
 ## Citation