This commit is related to issue: https://github.com/EMI-Group/tensorneat/issues/11

1. Add origin_node and origin_conn.
2. Change the behavior of crossover and mutation. Now, TensorNEAT will use all fix_attrs(include historical marker if it has one) as identifier for gene in crossover and distance calculation.
3. Other slightly change.
4. Add two related examples: xor_origin and hopper_origin
5. Add related test file.

examples/brax/hopper_origin.py

@@ -0,0 +1,49 @@
+from tensorneat.pipeline import Pipeline
+from tensorneat.algorithm.neat import NEAT
+from tensorneat.genome import DefaultGenome, OriginNode, OriginConn
+
+from tensorneat.problem.rl import BraxEnv
+from tensorneat.common import ACT, AGG
+
+"""
+Solving Hopper with OriginGene
+See https://github.com/EMI-Group/tensorneat/issues/11
+"""
+
+if __name__ == "__main__":
+    pipeline = Pipeline(
+        algorithm=NEAT(
+            pop_size=1000,
+            species_size=20,
+            survival_threshold=0.1,
+            compatibility_threshold=1.0,
+            genome=DefaultGenome(
+                num_inputs=11,
+                num_outputs=3,
+                init_hidden_layers=(),
+                # origin node gene, which use the same crossover behavior to the origin NEAT paper
+                node_gene=OriginNode(
+                    activation_options=ACT.tanh,
+                    aggregation_options=AGG.sum,
+                    response_lower_bound = 1,
+                    response_upper_bound= 1,  # fix response to 1
+                ),
+                # use origin connection, which using historical marker
+                conn_gene=OriginConn(),  
+                output_transform=ACT.tanh,
+            ),
+        ),
+        problem=BraxEnv(
+            env_name="hopper",
+            max_step=1000,
+        ),
+        seed=42,
+        generation_limit=100,
+        fitness_target=5000,
+    )
+
+    # initialize state
+    state = pipeline.setup()
+    # print(state)
+    # run until terminate
+    state, best = pipeline.auto_run(state)