5dc4b6686e5885df7d53c6162773ece336994feb,rllib/agents/dqn/dqn_torch_model.py,DQNTorchModel,__init__,#DQNTorchModel#,13

Before Change

                value_module.add_module("dueling_V_act_{}".format(i),
                                        nn.ReLU())
            elif dueling_activation == "tanh":
                advantage_module.add_module("dueling_A_act_{}".format(i),
                                            nn.Tanh())
                value_module.add_module("dueling_V_act_{}".format(i),
                                        nn.Tanh())

            // Add LayerNorm after each Dense.

After Change

                        activation=dueling_activation))
            else:
                advantage_module.add_module(
                    "dueling_A_{}".format(i),
                    SlimFC(ins, n, activation_fn=dueling_activation))
                value_module.add_module(
                    "dueling_V_{}".format(i),

Instances