add example for recurrent network

examples/brax/hopper_recurrent.py

@@ -0,0 +1,40 @@
+from tensorneat.pipeline import Pipeline
+from tensorneat.algorithm.neat import NEAT
+from tensorneat.genome import RecurrentGenome, BiasNode
+
+from tensorneat.problem.rl import BraxEnv
+from tensorneat.common import ACT, AGG
+
+if __name__ == "__main__":
+    pipeline = Pipeline(
+        algorithm=NEAT(
+            pop_size=1000,
+            species_size=20,
+            survival_threshold=0.1,
+            compatibility_threshold=1.0,
+            genome=RecurrentGenome(
+                num_inputs=11,
+                num_outputs=3,
+                init_hidden_layers=(),
+                node_gene=BiasNode(
+                    activation_options=ACT.tanh,
+                    aggregation_options=AGG.sum,
+                ),
+                output_transform=ACT.tanh,
+                activate_time=20,
+            ),
+        ),
+        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)