GitHub / Francesco-Sovrano / Framework-for-Actor-Critic-deep-reinforcement-learning-algorithms
Framework for developing Actor-Critic deep RL algorithms (A3C, A2C, PPO, GAE, etc..) in different environments (OpenAI's Gym, Rogue, Sentiment Analysis, Car Controller, etc..) with continuous and discrete action spaces.
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PURL: pkg:github/Francesco-Sovrano/Framework-for-Actor-Critic-deep-reinforcement-learning-algorithms
Stars: 10
Forks: 1
Open issues: 0
License: mit
Language: Python
Size: 15.5 MB
Dependencies parsed at: Pending
Created at: over 6 years ago
Updated at: over 1 year ago
Pushed at: over 5 years ago
Last synced at: about 1 year ago
Topics: a3c, actor-critic, car-controller, deep-reinforcement-learning, experience-replay, hierarchical-architectures, hierarchical-reinforcement-learning, openai-gym, ppo, rogue, sentiment-analysis