MadryLab / implementation-mattersLinks
☆132Updated 11 months ago
Alternatives and similar repositories for implementation-matters
Users that are interested in implementation-matters are comparing it to the libraries listed below
Sorting:
- Code for MOPO: Model-based Offline Policy Optimization☆179Updated 3 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 4 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆148Updated 3 years ago
- A list of papers regarding generalization in (deep) reinforcement learning☆151Updated last year
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 3 years ago
- ☆198Updated 2 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
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆92Updated 3 weeks ago
- ☆111Updated 5 years ago
- ☆92Updated last year
- ☆54Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆170Updated 3 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆125Updated 4 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆130Updated 11 months ago
- ☆61Updated 7 years ago
- Multi Task RL Baselines☆244Updated 3 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆75Updated 2 years ago
- Model-Based Offline Reinforcement Learning☆50Updated 4 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆170Updated 8 months ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆51Updated 2 months ago
- Soft Actor-Critic☆151Updated 7 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆138Updated 2 years ago
- Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets☆123Updated 7 months ago
- ☆113Updated 2 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 6 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆161Updated 3 years ago
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆90Updated 2 years ago
- Paper Collection for Batch RL with brief introductions.☆84Updated 3 years ago