jonasrothfuss / model_ensemble_meta_learning
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
- ☆98Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- 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 …☆85Updated 3 years ago
- ☆30Updated last year
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆33Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 6 months ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- Revisiting Rainbow☆74Updated 3 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆72Updated 2 years ago
- AGAC: Adversarially Guided Actor-Critic☆49Updated 3 years ago
- ☆91Updated last year
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated last year
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆16Updated 5 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire …☆67Updated 4 years ago
- ☆53Updated last year
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 5 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆37Updated 2 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Implementation of Data Efficient Reinforcement Learning in Pytorch☆20Updated 5 years ago
- Model-based reinforcement learning in TensorFlow☆55Updated 3 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
- ☆18Updated 2 years ago