widmi / rudder-a-practical-tutorialLinks
A practical step-by-step guide to applying RUDDER
☆35Updated 6 years ago
Alternatives and similar repositories for rudder-a-practical-tutorial
Users that are interested in rudder-a-practical-tutorial are comparing it to the libraries listed below
Sorting:
- RUDDER: Return Decomposition for Delayed Rewards☆48Updated 5 years ago
- Code for demonstration example-task in RUDDER blog☆24Updated 5 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- ☆31Updated 6 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆107Updated 5 years ago
- ☆92Updated 2 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆68Updated 5 years ago
- ☆85Updated 4 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆129Updated 4 years ago
- ☆99Updated 2 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 7 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆47Updated 2 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- ☆72Updated 6 years ago
- Soft Actor-Critic☆156Updated 7 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 5 years ago
- Hierarchical Self-Play☆21Updated 7 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Updated 4 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆195Updated 3 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆87Updated 5 years ago
- Implementation of the Option-Critic Architecture☆40Updated 7 years ago