update configs

agi-brain · Jan 17, 2025 · a6b9c3d · a6b9c3d
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diff --git a/xuance/configs/a2c/classic_control/CartPole-v1.yaml b/xuance/configs/a2c/classic_control/CartPole-v1.yaml
@@ -2,7 +2,7 @@ agent: "A2C"
 env_name: "Classic Control"
 env_id: "CartPole-v1"
 env_seed: 1
-vectorize: "SubprocVecEnv"
+vectorize: "DummyVecEnv"
 learner: "A2C_Learner"
 policy: "Categorical_AC"
 representation: "Basic_MLP"

diff --git a/xuance/configs/coma/mpe/simple_spread_v3.yaml b/xuance/configs/coma/mpe/simple_spread_v3.yaml
@@ -7,7 +7,7 @@ learner: "COMA_Learner"
 policy: "Categorical_COMA_Policy"  # Name of policy.
 representation: "Basic_MLP"  # Name of representation.
 representation_critic: "Basic_MLP"  # Name of representation for critic.
-vectorize: "SubprocVecMultiAgentEnv"  # Method to vectorize the environment.
+vectorize: "DummyVecMultiAgentEnv"  # Method to vectorize the environment.
 runner: "MARL"  # Runner.
 
 # recurrent settings for Basic_RNN representation

diff --git a/xuance/configs/iac/mpe/simple_spread_v3.yaml b/xuance/configs/iac/mpe/simple_spread_v3.yaml
@@ -6,7 +6,7 @@ continuous_action: False
 learner: "IAC_Learner"
 policy: "Categorical_MAAC_Policy"
 representation: "Basic_MLP"
-vectorize: "SubprocVecMultiAgentEnv"
+vectorize: "DummyVecMultiAgentEnv"
 runner: "MARL"
 
 # recurrent settings for Basic_RNN representation

diff --git a/xuance/configs/ippo/mpe/simple_spread_v3.yaml b/xuance/configs/ippo/mpe/simple_spread_v3.yaml
@@ -6,7 +6,7 @@ continuous_action: True  # If to use continuous control.
 learner: "IPPO_Learner"  # The learner name.
 policy: "Gaussian_MAAC_Policy"  # The policy name.
 representation: "Basic_MLP"  # The representation name.
-vectorize: "SubprocVecMultiAgentEnv"  # The method to vectorize your environment such that can run in parallel.
+vectorize: "DummyVecMultiAgentEnv"  # The method to vectorize your environment such that can run in parallel.
 runner: "MARL"  # The runner.
 
 # recurrent settings for Basic_RNN representation.

diff --git a/xuance/configs/maddpg/mpe/simple_push_v3.yaml b/xuance/configs/maddpg/mpe/simple_push_v3.yaml
@@ -6,7 +6,7 @@ continuous_action: True
 learner: "MADDPG_Learner"
 policy: "MADDPG_Policy"
 representation: "Basic_Identical"
-vectorize: "SubprocVecMultiAgentEnv"
+vectorize: "DummyVecMultiAgentEnv"
 runner: "RunnerCompetition"
 
 representation_hidden_size: []  # the units for each hidden layer

diff --git a/xuance/configs/maddpg/mpe/simple_spread_v3.yaml b/xuance/configs/maddpg/mpe/simple_spread_v3.yaml
@@ -6,7 +6,7 @@ continuous_action: True
 learner: "MADDPG_Learner"
 policy: "MADDPG_Policy"
 representation: "Basic_Identical"
-vectorize: "SubprocVecMultiAgentEnv"
+vectorize: "DummyVecMultiAgentEnv"
 runner: "MARL"
 
 representation_hidden_size: []  # the units for each hidden layer

diff --git a/xuance/configs/mappo/mpe/simple_spread_v3.yaml b/xuance/configs/mappo/mpe/simple_spread_v3.yaml
@@ -6,7 +6,7 @@ continuous_action: True  # If to use continuous control.
 learner: "MAPPO_Clip_Learner"
 policy: "Gaussian_MAAC_Policy"  # The policy name.
 representation: "Basic_MLP"  # The representation name.
-vectorize: "SubprocVecMultiAgentEnv"  # The method to vectorize your environment such that can run in parallel.
+vectorize: "DummyVecMultiAgentEnv"  # The method to vectorize your environment such that can run in parallel.
 runner: "MARL"  # The runner.
 
 # recurrent settings for Basic_RNN representation.

diff --git a/xuance/configs/ppo/metadrive.yaml b/xuance/configs/ppo/metadrive.yaml
@@ -5,7 +5,7 @@ env_seed: 1
 env_config:  # the configs for MetaDrive environment
   map: "C"  # see https://metadrive-simulator.readthedocs.io/en/latest/rl_environments.html#generalization-environment for choices
 render: False
-vectorize: "SubprocVecEnv"
+vectorize: "DummyVecEnv"
 learner: "PPOCLIP_Learner"
 policy: "Gaussian_AC"  # choice: Gaussian_AC for continuous actions, Categorical_AC for discrete actions.
 representation: "Basic_MLP"

diff --git a/xuance/configs/sac/metadrive.yaml b/xuance/configs/sac/metadrive.yaml
@@ -5,7 +5,7 @@ env_seed: 1
 env_config:  # the configs for MetaDrive environment
   map: "C"  # see https://metadrive-simulator.readthedocs.io/en/latest/rl_environments.html#generalization-environment for choices
 render: False
-vectorize: "SubprocVecEnv"
+vectorize: "DummyVecEnv"
 learner: "SAC_Learner"
 policy: "Gaussian_SAC"
 representation: "Basic_Identical"

diff --git a/xuance/configs/vdac/mpe/simple_spread_v3.yaml b/xuance/configs/vdac/mpe/simple_spread_v3.yaml
@@ -6,7 +6,7 @@ continuous_action: False
 learner: "VDAC_Learner"
 policy: "Categorical_MAAC_Policy"
 representation: "Basic_MLP"
-vectorize: "SubprocVecMultiAgentEnv"
+vectorize: "DummyVecMultiAgentEnv"
 runner: "MARL"
 
 # recurrent settings for Basic_RNN representation