Linking pages
- GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. https://github.com/josephmisiti/awesome-machine-learning 58 comments
- GitHub - wwxFromTju/awesome-reinforcement-learning-lib: GitHub's code repository is all you need https://github.com/wwxFromTju/awesome-reinforcement-learning-lib 19 comments
- GitHub - opendilab/DI-sheep: 羊了个羊 + 深度强化学习（Deep Reinforcement Learning + 3 Tiles Game) https://github.com/opendilab/DI-sheep 0 comments
- GitHub - opendilab/DIgging: Decision Intelligence for digging best parameters in target environment. https://github.com/opendilab/DIgging 0 comments
- GitHub - opendilab/DI-drive: Decision Intelligence Platform for Autonomous Driving simulation. https://github.com/opendilab/DI-drive 0 comments
- GitHub - opendilab/DI-smartcross: Decision Intelligence platform for Traffic Crossing Signal Control https://github.com/opendilab/DI-smartcross 0 comments
- GitHub - aikorea/awesome-rl: Reinforcement learning resources curated https://github.com/aikorea/awesome-rl 0 comments
- GitHub - opendilab/LightZero: [NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios https://github.com/opendilab/LightZero 0 comments
Linked pages
- [1511.05952] Prioritized Experience Replay https://arxiv.org/abs/1511.05952 19 comments
- [1509.02971] Continuous control with deep reinforcement learning https://arxiv.org/abs/1509.02971 15 comments
- [1705.05363] Curiosity-driven Exploration by Self-supervised Prediction https://arxiv.org/abs/1705.05363 14 comments
- ImageNet http://image-net.org/index 12 comments
- [1511.04143] Deep Reinforcement Learning in Parameterized Action Space https://arxiv.org/abs/1511.04143 11 comments
- [1707.01495] Hindsight Experience Replay https://arxiv.org/abs/1707.01495 11 comments
- https://arxiv.org/pdf/1707.06887.pdf 10 comments
- [2106.01345] Decision Transformer: Reinforcement Learning via Sequence Modeling https://arxiv.org/abs/2106.01345 9 comments
- https://arxiv.org/abs/1710.10044 9 comments
- GitHub - openai/procgen: Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments https://github.com/openai/procgen 8 comments
- [1909.01387] Making Efficient Use of Demonstrations to Solve Hard Exploration Problems https://arxiv.org/abs/1909.01387 7 comments
- https://arxiv.org/abs/1602.01783 7 comments
- https://arxiv.org/pdf/1711.08946.pdf 5 comments
- https://arxiv.org/pdf/1706.02275.pdf 4 comments
- [1802.01561] IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures https://arxiv.org/abs/1802.01561 4 comments
- Recurrent Experience Replay in Distributed Reinforcement Learning | OpenReview https://openreview.net/forum?id=r1lyTjAqYX 4 comments
- [1801.01290] Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor https://arxiv.org/abs/1801.01290 4 comments
- [1705.08926] Counterfactual Multi-Agent Policy Gradients https://arxiv.org/abs/1705.08926 4 comments
- [1806.06923] Implicit Quantile Networks for Distributional Reinforcement Learning https://arxiv.org/abs/1806.06923 4 comments
- [1906.08253] When to Trust Your Model: Model-Based Policy Optimization https://arxiv.org/abs/1906.08253 3 comments
Related searches:
Search whole site: site:github.com
Search title: GitHub - opendilab/DI-engine: OpenDILab Decision AI Engine
See how to search.