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keras-rl is a reinforcement learning library that enables the training of neural agents using Keras. It serves as a framework for implementing deep reinforcement learning agents that interact with simulated environments to discover optimal behaviors and maximize cumulative rewards. The library provides a system for configuring, training, and managing neural network agents. It handles the interaction loop between agents and environments, allowing models to learn through direct experience and gradient-based optimization. The framework includes capabilities for model weight management, allowing
Tensorforce: a TensorFlow library for applied reinforcement learning
Maze Applied Reinforcement Learning Framework
The main features of enlite-ai/maze are: Deep Learning Frameworks, Reinforcement Learning.
Projects with overlapping indexed features include: nervanasystems/coach. rlworkgroup/garage — A toolkit for reproducible reinforcement learning research. deepmind/trfl — TensorFlow Reinforcement Learning. keras-rl/keras-rl — keras-rl is a reinforcement learning library that enables the training of neural agents using Keras. It serves as a… reinforceio/tensorforce — Tensorforce: a TensorFlow library for applied reinforcement learning. serpentai/serpentai — SerpentAI is a game AI development kit and computer vision framework designed for building autonomous agents that…
