jonasrothfuss / model_ensemble_meta_learningLinks
Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
☆44Updated 7 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
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 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…☆69Updated 5 years ago
- ☆86Updated 4 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Updated 4 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 7 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆35Updated 6 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- ☆92Updated 2 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆76Updated 2 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆154Updated 5 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆30Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆95Updated 3 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆56Updated 10 months ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 6 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- Deep RL agents with PyTorch☆36Updated 4 years ago
- Deep Variational Reinforcement Learning☆139Updated 3 years ago
- ☆88Updated last year
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago