MadryLab / implementation-mattersLinks
☆131Updated last year
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☆188Updated 3 years ago
- A list of papers regarding generalization in (deep) reinforcement learning☆152Updated 2 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆150Updated 4 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆179Updated 3 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆196Updated 2 years ago
- Soft Actor-Critic☆156Updated 7 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 5 years ago
- ☆201Updated 2 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆77Updated 3 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 3 years ago
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆90Updated 2 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆95Updated 4 months ago
- Multi Task RL Baselines☆254Updated 3 years ago
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆56Updated 3 years ago
- Model-Based Offline Reinforcement Learning☆50Updated 4 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆172Updated 11 months ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆128Updated 4 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆161Updated 3 years ago
- ☆54Updated last year
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago
- ☆92Updated last year
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆135Updated last year
- Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets☆126Updated 11 months ago
- Paper Collection for Batch RL with brief introductions.☆85Updated 3 years ago
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆193Updated 2 years ago
- ☆62Updated 7 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆142Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago