geyang / e-mamlLinks
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
Sorting:
- 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 …☆91Updated 4 years ago
- Implementation of Data Efficient Reinforcement Learning in Pytorch☆20Updated 6 years ago
- ☆31Updated 6 years ago
- ☆54Updated last year
- ☆114Updated 2 years ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆17Updated 7 years ago
- ☆26Updated 2 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Hindsight policy gradients☆45Updated 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
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆101Updated 3 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- Proximal Policy Option-Critic☆25Updated 6 years ago
- ☆62Updated 7 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 5 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 4 years ago
- ☆43Updated 6 years ago
- on-policy optimization baselines for deep reinforcement learning☆31Updated 5 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Soft Actor-Critic☆154Updated 7 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆108Updated 3 years ago
- ☆99Updated 2 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆35Updated 5 years ago
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆90Updated 2 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 4 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 5 years ago
- Code for demonstration example-task in RUDDER blog☆24Updated 5 years ago