- What does no-op mean? https://github.com/deepmind/dqn_zoo 3 comments reinforcementlearning
Linking pages
Linked pages
- GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more https://github.com/google/jax 99 comments
- GitHub - NVIDIA/nvidia-docker: Build and run Docker containers leveraging NVIDIA GPUs https://github.com/NVIDIA/nvidia-docker 55 comments
- Docker Documentation | Docker Documentation https://docs.docker.com 25 comments
- GitHub - mgbellemare/Arcade-Learning-Environment: The Arcade Learning Environment (ALE) -- a platform for AI research. https://github.com/mgbellemare/Arcade-Learning-Environment 21 comments
- [1511.05952] Prioritized Experience Replay https://arxiv.org/abs/1511.05952 19 comments
- Post-installation steps for Linux | Docker Documentation https://docs.docker.com/engine/install/linux-postinstall/ 14 comments
- https://arxiv.org/abs/1710.10044 9 comments
- [1806.06923] Implicit Quantile Networks for Distributional Reinforcement Learning https://arxiv.org/abs/1806.06923 4 comments
- Human-level control through deep reinforcement learning | Nature https://www.nature.com/articles/nature14236 3 comments
- [1710.02298] Rainbow: Combining Improvements in Deep Reinforcement Learning https://arxiv.org/abs/1710.02298 0 comments
- GitHub - deepmind/rlax https://github.com/deepmind/rlax 0 comments
- GitHub - openai/gym: A toolkit for developing and comparing reinforcement learning algorithms. https://github.com/openai/gym 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
- GitHub - deepmind/dm-haiku: JAX-based neural network library https://github.com/deepmind/haiku 0 comments