seungjaeryanlee / rl-explorationLinks
Reinforcement Learning papers on exploration methods.
☆19Updated 4 years ago
Alternatives and similar repositories for rl-exploration
Users that are interested in rl-exploration are comparing it to the libraries listed below
Sorting:
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- ☆43Updated 6 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆50Updated 6 years ago
- Deep Variational Reinforcement Learning☆135Updated 3 years ago
- Mind-aware Multi-agent Management Reinforcement Learning☆82Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 6 years ago
- ☆84Updated 4 years ago
- ☆99Updated 2 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆47Updated last year
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- ☆62Updated 7 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- ☆44Updated 6 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)☆35Updated 6 years ago
- Code for the CoRL 2019 paper AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers☆24Updated 2 years ago
- ☆112Updated 5 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆68Updated 2 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 5 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago