l5shi / Multi-DDPG-with-parameter-noise
New reinforcement algorithm base on DDPG
☆18Updated 5 years ago
Alternatives and similar repositories for Multi-DDPG-with-parameter-noise:
Users that are interested in Multi-DDPG-with-parameter-noise are comparing it to the libraries listed below
- Deep Recurrent Attention Reinforcement Learning in Atari☆83Updated 6 years ago
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆37Updated 5 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆45Updated 2 years ago
- Simple bit flipping with sparse rewards using HER, similarly to the original paper☆39Updated 5 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆26Updated 5 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆45Updated 4 years ago
- Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space☆46Updated 7 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆66Updated 5 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆13Updated 7 years ago
- Reinforcement Learning -- Imitation Learning, Behavior Cloning, DAgger (Data Aggregation)☆17Updated 6 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 6 years ago
- Implementation of Recurrent Deterministic Policy Gradient.☆36Updated 8 months ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Clean Python Implementation of the Deep Deterministic Policy Gradients Algorithm☆73Updated 8 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 3 years ago
- A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env☆70Updated 7 years ago
- RainBow, Tensorflow☆49Updated 6 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 7 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 4 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- Fuzzy Deep Reinforcement Learning for autoscaling on clouds☆9Updated 4 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆111Updated last year
- reinforcement learning ddpg code. follow deepmind papers.☆60Updated 6 years ago
- scalable multi agents reinforcement learning☆54Updated 6 years ago
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆102Updated 4 years ago
- research and implementations of Deep RL agents and their applications☆48Updated last month
- This is the accompannying code for the paper "SLAM-Safe Planner: Preventing Monocular SLAM Failure using Reinforcement Learning" and "Dat…☆16Updated 7 years ago
- Code for the paper "Importance Weighted Transfer of Samples in Reinforcement Learning" (ICML 2018).☆16Updated 6 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 7 years ago
- Eagerly Experimentable!!!☆25Updated 4 years ago