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Release 0.9
Main changes are detailed below: New features - * CARLA 0.7 simulator integration * Human control of the game play * Recording of human game play and storing / loading the replay buffer * Behavioral cloning agent and presets * Golden tests for several presets * Selecting between deep / shallow image embedders * Rendering through pygame (with some boost in performance) API changes - * Improved environment wrapper API * Added an evaluate flag to allow convenient evaluation of existing checkpoints * Improve frameskip definition in Gym Bug fixes - * Fixed loading of checkpoints for agents with more than one network * Fixed the N Step Q learning agent python3 compatibility
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@@ -16,6 +16,7 @@
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from agents.actor_critic_agent import *
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from agents.agent import *
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from agents.bc_agent import *
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from agents.bootstrapped_dqn_agent import *
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from agents.clipped_ppo_agent import *
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from agents.ddpg_agent import *
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@@ -23,6 +24,8 @@ from agents.ddqn_agent import *
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from agents.dfp_agent import *
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from agents.dqn_agent import *
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from agents.categorical_dqn_agent import *
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from agents.human_agent import *
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from agents.imitation_agent import *
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from agents.mmc_agent import *
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from agents.n_step_q_agent import *
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from agents.naf_agent import *
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