MadryLab / implementation-matters
☆128Updated 8 months ago
Alternatives and similar repositories for implementation-matters:
Users that are interested in implementation-matters are comparing it to the libraries listed below
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆167Updated 3 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆177Updated 2 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆160Updated 4 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆147Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆163Updated 5 months ago
- ☆194Updated 2 years ago
- ☆60Updated 6 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆126Updated 8 months ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆92Updated 3 weeks ago
- A list of papers regarding generalization in (deep) reinforcement learning☆152Updated last year
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 2 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆160Updated 3 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆137Updated 2 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆75Updated 2 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆124Updated 4 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆186Updated 2 years ago
- ☆53Updated last year
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆48Updated 2 years ago
- Soft Actor-Critic☆144Updated 7 years ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆24Updated 5 years ago
- ☆91Updated last year
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆56Updated 2 years ago
- Paper Collection for Batch RL with brief introductions.☆85Updated 3 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 2 months ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 4 years ago
- ☆109Updated 2 years ago
- Conservative Q Learning on top of SAC☆130Updated 2 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
- ☆120Updated 2 years ago