Using Evox to deal with RL tasks! With distributed Gym environment!

Three simple tasks in Gym[classical] are tested.
2023-07-04 15:44:08 +08:00
parent c4d34e877b
commit 7bf46575f4
18 changed files with 547 additions and 43 deletions
--- a/evox_adaptor/neat.py
+++ b/evox_adaptor/neat.py
@@ -0,0 +1,91 @@
+import jax.numpy as jnp
+
+import evox
+from algorithms import neat
+from configs import Configer
+
+
+@evox.jit_class
+class NEAT(evox.Algorithm):
+    def __init__(self, config):
+        self.config = config  # global config
+        self.jit_config = Configer.create_jit_config(config)
+        (
+            self.randkey,
+            self.pop_nodes,
+            self.pop_cons,
+            self.species_info,
+            self.idx2species,
+            self.center_nodes,
+            self.center_cons,
+            self.generation,
+            self.next_node_key,
+            self.next_species_key,
+        ) = neat.initialize(config)
+        super().__init__()
+
+    def setup(self, key):
+        return evox.State(
+            randkey=self.randkey,
+            pop_nodes=self.pop_nodes,
+            pop_cons=self.pop_cons,
+            species_info=self.species_info,
+            idx2species=self.idx2species,
+            center_nodes=self.center_nodes,
+            center_cons=self.center_cons,
+            generation=self.generation,
+            next_node_key=self.next_node_key,
+            next_species_key=self.next_species_key,
+            jit_config=self.jit_config
+        )
+
+    def ask(self, state):
+        flatten_pop_nodes = state.pop_nodes.flatten()
+        flatten_pop_cons = state.pop_cons.flatten()
+        pop = jnp.concatenate([flatten_pop_nodes, flatten_pop_cons])
+        return pop, state
+
+    def tell(self, state, fitness):
+
+        # evox is a minimization framework, so we need to negate the fitness
+        fitness = -fitness
+
+        (
+            randkey,
+            pop_nodes,
+            pop_cons,
+            species_info,
+            idx2species,
+            center_nodes,
+            center_cons,
+            generation,
+            next_node_key,
+            next_species_key
+        ) = neat.tell(
+            fitness,
+            state.randkey,
+            state.pop_nodes,
+            state.pop_cons,
+            state.species_info,
+            state.idx2species,
+            state.center_nodes,
+            state.center_cons,
+            state.generation,
+            state.next_node_key,
+            state.next_species_key,
+            state.jit_config
+        )
+
+        return evox.State(
+            randkey=randkey,
+            pop_nodes=pop_nodes,
+            pop_cons=pop_cons,
+            species_info=species_info,
+            idx2species=idx2species,
+            center_nodes=center_nodes,
+            center_cons=center_cons,
+            generation=generation,
+            next_node_key=next_node_key,
+            next_species_key=next_species_key,
+            jit_config=state.jit_config
+        )