Train a Reinforcement Learning agent to play custom levels of Sonic the Hedgehog with Transfer Learning

Linking pages

Retro Contest: Results https://blog.openai.com/first-retro-contest-retrospective/ 4 comments

Linked pages

OpenAI Retro Contest https://contest.openai.com/ 48 comments
[1511.05952] Prioritized Experience Replay https://arxiv.org/abs/1511.05952 19 comments
[1705.05363] Curiosity-driven Exploration by Self-supervised Prediction https://arxiv.org/abs/1705.05363 14 comments
[1611.02779] RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning https://arxiv.org/abs/1611.02779 9 comments
[1803.02999] On First-Order Meta-Learning Algorithms https://arxiv.org/abs/1803.02999 6 comments
[1512.03385] Deep Residual Learning for Image Recognition http://arxiv.org/abs/1512.03385 6 comments
https://arxiv.org/abs/1707.06347 3 comments
Human-level control through deep reinforcement learning | Nature https://www.nature.com/articles/nature14236 3 comments
GitHub - openai/baselines: OpenAI Baselines: high-quality implementations of reinforcement learning algorithms https://github.com/openai/baselines 3 comments
Intuitive RL: Intro to Advantage-Actor-Critic (A2C) | HackerNoon https://hackernoon.com/intuitive-rl-intro-to-advantage-actor-critic-a2c-4ff545978752 0 comments
[1706.10295] Noisy Networks for Exploration https://arxiv.org/abs/1706.10295 0 comments
[1710.02298] Rainbow: Combining Improvements in Deep Reinforcement Learning https://arxiv.org/abs/1710.02298 0 comments
[1511.06581] Dueling Network Architectures for Deep Reinforcement Learning http://arxiv.org/abs/1511.06581 0 comments
Distributional Bellman and the C51 Algorithm | Felix Yu https://flyyufelix.github.io/2017/10/24/distributional-bellman.html 0 comments
[1707.06887] A Distributional Perspective on Reinforcement Learning https://arxiv.org/abs/1707.06887 0 comments
[1509.06461] Deep Reinforcement Learning with Double Q-learning http://arxiv.org/abs/1509.06461 0 comments