Deep Reinforcement Learning agents for OpenAI Gym Atari 2600
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Updated
Oct 20, 2021 - Python
Deep Reinforcement Learning agents for OpenAI Gym Atari 2600
Develop an AI player of Atari Skiing with deep reinforcement learning
Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop
NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.
Reinforcing Your Learning of Reinforcement Learning
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