Kostis-S-Z / exploring_meta
Experiments on Model-Agnostic Meta-Learning on Few-Shot Image Classification and Meta-RL (Meta-World)
☆14Updated 3 years ago
Alternatives and similar repositories for exploring_meta:
Users that are interested in exploring_meta are comparing it to the libraries listed below
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆25Updated 3 years ago
- ☆32Updated 7 months ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 4 months ago
- Source code for the Self-Paced Deep Reinforcement Learning Experiments☆30Updated last year
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆30Updated 3 years ago
- Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.☆9Updated last year
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated last year
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆21Updated last year
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Updated 2 years ago
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆30Updated 2 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆21Updated 3 years ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆36Updated 10 months ago
- ☆26Updated last year
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆36Updated 2 years ago
- Code for demonstration example-task in RUDDER blog☆23Updated 4 years ago
- ☆14Updated last year
- Source code to reproduce experiments from Mendez et al., ICLR '22☆21Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"☆33Updated last year
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆51Updated 3 years ago
- [ICML 2023] Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills☆12Updated last year
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆16Updated 5 years ago
- Latent Dynamics Mixture, NeurIPS 2021☆17Updated 2 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆44Updated 3 years ago
- Official implementation of "Know Your Action Set: Learning Action Relations for Reinforcement Learning", Jain et al., ICLR 2022.☆17Updated 2 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Updated last year
- Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning☆27Updated 4 years ago
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Updated 4 years ago