jonasrothfuss / model_ensemble_meta_learningLinks
Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
☆44Updated 6 years ago
Alternatives and similar repositories for model_ensemble_meta_learning
Users that are interested in model_ensemble_meta_learning are comparing it to the libraries listed below
Sorting:
- ☆99Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- ☆84Updated 4 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆89Updated 4 years ago
- ☆92Updated last year
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆93Updated last year
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆29Updated 5 years ago
- ☆62Updated 7 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆152Updated 4 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆68Updated 2 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆127Updated 4 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆54Updated 5 months ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆150Updated 4 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆73Updated 2 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 4 years ago
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆98Updated 4 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆39Updated 3 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆191Updated 2 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago