schneimo / maml-rl-tf2Links
Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.
☆27Updated 4 years ago
Alternatives and similar repositories for maml-rl-tf2
Users that are interested in maml-rl-tf2 are comparing it to the libraries listed below
Sorting:
- ☆114Updated 2 years ago
- ☆92Updated last year
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆16Updated 5 years ago
- ☆54Updated last year
- ☆87Updated last year
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆109Updated 3 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆189Updated 3 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 3 years ago
- ☆99Updated 2 years ago
- ☆133Updated last year
- ☆84Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆89Updated 4 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago
- ☆201Updated 2 years ago
- ☆62Updated 7 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆195Updated 2 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆162Updated 3 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆128Updated 4 years ago
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆90Updated 2 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆17Updated 7 years ago
- ☆52Updated 5 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆150Updated 4 years ago
- ☆26Updated 2 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 4 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆151Updated 4 years ago
- ☆30Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆31Updated 5 years ago