- DeepMind's original DQN Breakout Score of 428 - was it one life? https://www.nature.com/articles/nature14236 3 comments reinforcementlearning
Linking pages
- Genie 2: A large-scale foundation world model - Google DeepMind https://deepmind.google/discover/blog/genie-2-a-large-scale-foundation-world-model/ 426 comments
- SIMA generalist AI agent for 3D virtual environments - Google DeepMind https://deepmind.google/discover/blog/sima-generalist-ai-agent-for-3d-virtual-environments/ 341 comments
- Deep Reinforcement Learning Doesn't Work Yet https://www.alexirpan.com/2018/02/14/rl-hard.html 90 comments
- How AI is Changing Chemical Discovery https://thegradient.pub/how-ai-is-changing-chemical-discovery/ 76 comments
- Reinforcement Learning with Prediction-Based Rewards https://blog.openai.com/reinforcement-learning-with-prediction-based-rewards/ 38 comments
- GitHub - astorfi/Deep-Learning-Roadmap: Organized Resources for Deep Learning Researchers and Developers https://github.com/astorfi/Deep-Learning-World 22 comments
- RAdam: A New State-of-the-Art Optimizer for RL? | by Chris Nota | Autonomous Learning Library | Medium https://medium.com/autonomous-learning-library/radam-a-new-state-of-the-art-optimizer-for-rl-442c1e830564 10 comments
- GitHub - aimerou/top-ai-papers: A curated list of the most impressive AI papers https://github.com/aimerou/top-ai-papers 9 comments
- Ingredients for Robotics Research https://openai.com/blog/ingredients-for-robotics-research/ 8 comments
- GitHub - chaovven/PyRL: PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.) https://github.com/chaovven/PyRL 8 comments
- GitHub - atavakol/action-branching-agents: (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning https://github.com/atavakol/action-branching-agents 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
- Drilling Down on Depth Sensing and Deep Learning – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2018/10/23/depth-sensing/ 2 comments
- GitHub - michaelnny/deep_rl_zoo: A collection of Deep RL algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar. https://github.com/michaelnny/deep_rl_zoo 2 comments
- Stepping stones in AI - by DP - Re:ask https://reask.substack.com/p/stepping-stones-in-ai 1 comment
- Hyperbolic Deep Reinforcement Learning | by Michael Bronstein | Apr, 2023 | Towards Data Science https://towardsdatascience.com/hyperbolic-deep-reinforcement-learning-b2de787cf2f7 1 comment
- Shared Autonomy via Deep Reinforcement Learning – The Berkeley Artificial Intelligence Research Blog http://bair.berkeley.edu/blog/2018/04/18/shared-autonomy/ 0 comments
- Quantifying Generalization in Reinforcement Learning https://blog.openai.com/quantifying-generalization-in-reinforcement-learning/ 0 comments
- yobibyte's webpage – Reinforcement Learning Summer School (RLSS 2017) https://yobibyte.github.io/rlss17.html 0 comments
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