pfnet-research / capgLinks
Implementation of clipped action policy gradient (CAPG) with PPO and TRPO
☆31Updated 7 years ago
Alternatives and similar repositories for capg
Users that are interested in capg are comparing it to the libraries listed below
Sorting:
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆94Updated 7 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- ☆99Updated 2 years ago
- Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play☆14Updated 7 years ago
- Deep Variational Reinforcement Learning☆137Updated 3 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 6 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- ☆92Updated last year
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆131Updated 7 years ago
- PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)☆38Updated 4 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 6 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆151Updated 4 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆29Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- PyTorch implementation of Proximal Policy Optimization☆53Updated 7 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Hindsight policy gradients☆45Updated 5 years ago
- ICLR Reproducibility Challenge for Discriminator-Actor-Critic☆20Updated 6 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 6 years ago
- Soft Actor-Critic☆155Updated 7 years ago
- ☆84Updated 4 years ago
- ☆28Updated 6 years ago