cxxgtxy / deeprl-baselines
Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Reinforcement Learning
☆35Updated 6 years ago
Alternatives and similar repositories for deeprl-baselines
Users that are interested in deeprl-baselines are comparing it to the libraries listed below
Sorting:
- RainBow, Tensorflow☆49Updated 7 years ago
- Random Network Distillation(RND) algo in Pytorch☆49Updated 6 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆61Updated 4 years ago
- ☆69Updated 6 years ago
- PyTorch implementation of Proximal Policy Optimization☆51Updated 7 years ago
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆79Updated 6 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated 8 months ago
- Reinforcement Learning implementations and research prototyping in TensorFlow☆82Updated 6 years ago
- Meta Reinforcement Learning Experiments☆34Updated 7 years ago
- Reproducing results from DeepMind's paper on Population Based Training of Neural Networks.☆56Updated 6 years ago
- Distributed implementation of popular evolutionary methods☆64Updated 7 years ago
- C51-DDQN in Keras☆126Updated 7 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Tensorflow Implementation for "Noisy network for exploration"☆32Updated 7 years ago
- In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.☆19Updated 6 years ago
- Ape-X DQN & DDPG with pytorch & tensorboard☆102Updated 5 years ago
- Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018☆62Updated 6 years ago
- Reinforcement Learning and Deep Learning Resources☆16Updated 7 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- PyTorch implementation of Advantage Actor-Critic (A2C)☆45Updated 7 years ago
- ☆35Updated 6 years ago
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 6 years ago
- Fictitious Self-play & Reinforcement Learning☆18Updated 7 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- FEN Code☆37Updated 5 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆95Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 6 years ago
- ☆17Updated 7 years ago