update problem and pipeline

tensorneat/problem/rl/gymnax.py

@@ -0,0 +1,27 @@
+import gymnax
+
+from .rl_jit import RLEnv
+
+
+class GymNaxEnv(RLEnv):
+    def __init__(self, env_name, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        assert env_name in gymnax.registered_envs, f"Env {env_name} not registered in gymnax."
+        self.env, self.env_params = gymnax.make(env_name)
+
+    def env_step(self, randkey, env_state, action):
+        return self.env.step(randkey, env_state, action, self.env_params)
+
+    def env_reset(self, randkey):
+        return self.env.reset(randkey, self.env_params)
+
+    @property
+    def input_shape(self):
+        return self.env.observation_space(self.env_params).shape
+
+    @property
+    def output_shape(self):
+        return self.env.action_space(self.env_params).shape
+
+    def show(self, state, randkey, act_func, params, *args, **kwargs):
+        raise NotImplementedError