amazon-science / meta-q-learningLinks
Code for the paper "Meta-Q-Learning"( ICLR 2020)
☆103Updated 3 years ago
Alternatives and similar repositories for meta-q-learning
Users that are interested in meta-q-learning are comparing it to the libraries listed below
Sorting:
- ☆132Updated 11 months ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆92Updated 3 weeks ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 4 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 6 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆125Updated 4 years ago
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆62Updated 2 years ago
- ☆92Updated last year
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆191Updated 2 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆99Updated 5 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆179Updated 3 years ago
- ☆61Updated 7 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆142Updated 6 years ago
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆56Updated 2 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆148Updated 3 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆138Updated 2 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆73Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.☆26Updated 4 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆27Updated 3 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆170Updated 3 years ago
- Adaptive Attention Span for Reinforcement Learning☆133Updated 5 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- ☆54Updated last year
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 6 years ago
- Code for "Multi-task Reinforcement Learning with Soft Modularization"☆122Updated 4 years ago
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆90Updated 2 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 4 months ago