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:
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- ☆99Updated 2 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- ☆30Updated last year
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆86Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 3 years ago
- AGAC: Adversarially Guided Actor-Critic☆49Updated 3 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆26Updated last year
- ☆31Updated 5 years ago
- Code for generating options for planning and reinforcement learning☆12Updated 4 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 7 months ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆16Updated 5 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 6 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 5 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 5 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆92Updated 10 months ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- ☆61Updated 6 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆54Updated 4 years ago
- ☆29Updated 4 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- PyTorch IMPALA implementation☆26Updated 5 years ago