geyang / e-maml
E-MAML, and RL-MAML baseline implemented in Tensorflow v1
☆16Updated 5 years ago
Alternatives and similar repositories for e-maml:
Users that are interested in e-maml are comparing it to the libraries listed below
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 5 years ago
- ☆30Updated 5 years ago
- ☆41Updated 6 years ago
- ☆60Updated 6 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- ☆54Updated 11 months ago
- ☆26Updated last year
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆44Updated 4 years ago
- ☆29Updated 2 years ago
- Code for demonstration example-task in RUDDER blog☆22Updated 4 years ago
- ☆32Updated 6 months ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 5 years ago
- Implementation of Data Efficient Reinforcement Learning in Pytorch☆20Updated 5 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- ☆24Updated 6 months ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆44Updated 3 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆62Updated 4 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.☆26Updated 3 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆68Updated 3 years ago
- ☆32Updated 5 months ago
- PyTorch IMPALA implementation☆25Updated 5 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 5 years ago
- ☆81Updated 3 years ago
- Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.☆17Updated 5 years ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆16Updated 7 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago