Fix sphinx

Author: drvinceknight

docs/index.rst

@@ -7,31 +7,40 @@ Welcome to the documentation for the Axelrod Python library
 ===========================================================
 
 Here is quick overview of the current capabilities of the library:
+
 * Over 100 strategies from the literature and some exciting original
-contributions
+  contributions
+
     * Classic strategies like TiT-For-Tat, WSLS, and variants
     * Zero-Determinant and other Memory-One strategies
     * Many generic strategies that can be used to define an array of popular
-    strategies, including finite state machines, strategies that hunt for
-    patterns in other strategies, and strategies that combine the effects of
-    many others
+      strategies, including finite state machines, strategies that hunt for
+      patterns in other strategies, and strategies that combine the effects of
+      many others
     * Strategy transformers that augment that abilities of any strategy
+
 * Head-to-Head matches
+
 * Round Robin tournaments with a variety of options, including:
+
     * noisy environments
     * spatial games
     * probabilistically chosen match lengths
+
 * Population dynamics
+
     * The Moran process
     * An ecological model
-*Multi-processor support, caching for deterministic interactions, automatically
-generate figures and statistics
+
+* Multi-processor support, caching for deterministic interactions, automatically
+  generate figures and statistics
 
 Every strategy is categorized on a number of dimensions, including:
+
     * Deterministic or Stochastic
     * How many rounds of history used
     * Whether the strategy has access to the game matrix, the length of the
-    match, etc.
+      match, etc.
 
 Furthermore the library is extensively tested with 99%+ coverage, ensuring
 validity and reproducibility of results!