- [P] Deep RL Zoo - A collection of Deep RL algorithms implemented with PyTorch https://github.com/michaelnny/deep_rl_zoo 2 comments machinelearning
Linked pages
- GitHub - google-research/seed_rl: SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture. https://github.com/google-research/seed_rl 20 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
- https://arxiv.org/abs/1710.10044 9 comments
- https://arxiv.org/abs/1602.01783 7 comments
- [1802.01561] IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures https://arxiv.org/abs/1802.01561 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
- [1806.06923] Implicit Quantile Networks for Distributional Reinforcement Learning https://arxiv.org/abs/1806.06923 4 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
- [1810.12894] Exploration by Random Network Distillation https://arxiv.org/abs/1810.12894 3 comments
- [1507.06527] Deep Recurrent Q-Learning for Partially Observable MDPs https://arxiv.org/abs/1507.06527 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
- [1710.02298] Rainbow: Combining Improvements in Deep Reinforcement Learning https://arxiv.org/abs/1710.02298 0 comments
- GitHub - deepmind/trfl: TensorFlow Reinforcement Learning https://github.com/deepmind/trfl 0 comments
- GitHub - deepmind/rlax https://github.com/deepmind/rlax 0 comments
- [2003.13350] Agent57: Outperforming the Atari Human Benchmark https://arxiv.org/abs/2003.13350 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
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