diff --git a/AIDojoCoordinator/coordinator.py b/AIDojoCoordinator/coordinator.py
index 6850972b..92d07034 100644
--- a/AIDojoCoordinator/coordinator.py
+++ b/AIDojoCoordinator/coordinator.py
@@ -551,7 +551,7 @@ async def _process_reset_game_action(self, agent_addr: tuple, reset_action:Actio
             # add reset request for this agent
             self._reset_requests[agent_addr] = True
             # register if the agent wants to randomize the topology
-            self._randomize_topology_requests[agent_addr] = reset_action.parameters.get("randomize_topology", False)
+            self._randomize_topology_requests[agent_addr] = reset_action.parameters.get("randomize_topology", True)
             if all(self._reset_requests.values()):
                 # all agents want reset - reset the world
                 self.logger.debug(f"All agents requested reset, setting the event")
diff --git a/AIDojoCoordinator/docs/Components.md b/AIDojoCoordinator/docs/Components.md
index 1ac63276..bbe13c3d 100644
--- a/AIDojoCoordinator/docs/Components.md
+++ b/AIDojoCoordinator/docs/Components.md
@@ -61,7 +61,8 @@ ActionType is unique Enum that determines what kind of action is agent playing.
 ### List of actions
 - **JoinGame**, params={`agent_info`:AgentInfo(\<name\>, \<role\>)}: Used to register agent in a game with a given \<role\>.
 - **QuitGame**, params={}: Used for termination of agent's interaction.
-- **ResetGame**, params={`request_trajectory`:`bool`}: Used for requesting reset of the game to it's initial position. If `request_trajectory = True`, the coordinator will send back the complete trajectory of the previous run in the next message.
+- **ResetGame**, params={`request_trajectory`:`bool`(default=`False`), `randomize_topology`:`bool` (default=`False`)}: Used for requesting reset of the game to it's initial position. If `request_trajectory = True`, the coordinator will send back the complete trajectory of the previous run in the next message.
+If `randomize_topology=True`, the agent requests randomization of IPs for the next episode. NOTE: randomization takes place only if all playing agents request it.
 ---
 - **ScanNetwork**, params{`source_host`:\<IP\>, `target_network`:\<Network\>}: Scans the given \<Network\> from a specified source host. Discovers ALL hosts in a network that are accessible from \<IP\>. If successful, returns set of discovered \<IP\> objects.
 - **FindServices**, params={`source_host`:\<IP\>, `target_host`:\<IP\>}: Used to discover ALL services running in the `target_host` if the host is accessible from `source_host`. If successful, returns a set of all discovered \<Service\> objects.
diff --git a/AIDojoCoordinator/docs/Coordinator.md b/AIDojoCoordinator/docs/Coordinator.md
index bd7af93b..28a524fb 100644
--- a/AIDojoCoordinator/docs/Coordinator.md
+++ b/AIDojoCoordinator/docs/Coordinator.md
@@ -35,6 +35,7 @@ Coordinator, having the role of the middle man in all communication between the
 `self.agents`: information about connected agents {`agent address`: (`agent_name`,`agent_role`)}
 `self._agent_steps`: step counter for each agent in the current episode
 `self._reset_requests`: dictionary where requests for episode reset are collected (the world resets only if **all** active agents request reset)
+`self._randomize_topology_requests`: dictionary where requests for topology randomization are collected (the world randomizes the topology only if **all** active agents request reset)
 `self._agent_observations`: current observation per agent
 `self._agent_starting_position`: starting position (with wildcards, see [configuration](../README.md#task-configuration)) per agent
 `self._agent_states`: current GameState per agent 
diff --git a/AIDojoCoordinator/netsecenv_conf.yaml b/AIDojoCoordinator/netsecenv_conf.yaml
index 0c161d30..6fd52eb1 100644
--- a/AIDojoCoordinator/netsecenv_conf.yaml
+++ b/AIDojoCoordinator/netsecenv_conf.yaml
@@ -99,7 +99,7 @@ env:
   # random_seed: 42
   scenario: 'scenario1'
   use_global_defender: False
-  use_dynamic_addresses: True
+  use_dynamic_addresses: False
   use_firewall: True
   save_trajectories: False
   required_players: 1