- Emulating or coding the Atari 2600 games in C https://github.com/mgbellemare/Arcade-Learning-Environment 21 comments gamedev
Linking pages
- Deep Reinforcement Learning Doesn't Work Yet https://www.alexirpan.com/2018/02/14/rl-hard.html 66 comments
- Reinforcement Learning with Prediction-Based Rewards https://blog.openai.com/reinforcement-learning-with-prediction-based-rewards/ 38 comments
- Mastering Atari, Go, chess and shogi by planning with a learned model | Nature https://www.nature.com/articles/s41586-020-03051-4 25 comments
- Frame Skipping and Pre-Processing for Deep Q-Networks on Atari 2600 Games https://danieltakeshi.github.io/2016/11/25/frame-skipping-and-preprocessing-for-deep-q-networks-on-atari-2600-games/ 20 comments
- The Balloon Learning Environment – Google AI Blog https://ai.googleblog.com/2022/02/the-balloon-learning-environment.html 10 comments
- GitHub - ikostrikov/pytorch-a2c-ppo-acktr-gail: PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL). https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail 7 comments
- guides/ALTERNATIVES.md at master · mayfrost/guides · GitHub https://github.com/mayfrost/guides/blob/master/ALTERNATIVES.md 5 comments
- Reinforcement Learning with Prediction-Based Rewards https://openai.com/blog/reinforcement-learning-with-prediction-based-rewards/ 3 comments
- GitHub - deepmind/dqn_zoo: DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent. https://github.com/deepmind/dqn_zoo 3 comments
- Deep Hierarchical Planning from Pixels – Google AI Blog https://ai.googleblog.com/2022/07/deep-hierarchical-planning-from-pixels.html 1 comment
- GitHub - ntasfi/PyGame-Learning-Environment: PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python. https://github.com/ntasfi/PyGame-Learning-Environment 1 comment
- GitHub - jurgisp/pydreamer: PyTorch implementation of DreamerV2 model-based RL algorithm https://github.com/jurgisp/pydreamer 1 comment
- Reinforcement Learning Applications | by Yuxi Li | Medium https://medium.com/@yuxili/rl-applications-73ef685c07eb 0 comments
- GitHub - cshenton/atari-leaderboard: A leaderboard of human and machine performance on the Arcade Learning Environment (ALE). https://github.com/cshenton/atari-leaderboard 0 comments
- Bootstrapping Reinforcement Learning | by Suman Deb Roy | Medium https://medium.com/@_roysd/bootstrapping-reinforcement-learning-8e419af62921 0 comments
- Reinforcement Learning to solve Rubik’s cube (and other complex problems!) | by Max Lapan | DataDrivenInvestor https://medium.com/datadriveninvestor/reinforcement-learning-to-solve-rubiks-cube-and-other-complex-problems-106424cf26ff 0 comments
- GitHub - Alfredvc/paac: Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://github.com/Alfredvc/paac 0 comments
- GitHub - ikostrikov/pytorch-a2c-ppo-acktr-gail: PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL). https://github.com/ikostrikov/pytorch-a2c-ppo-acktr 0 comments
Linked pages
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