xtma / simple-pytorch-rlLinks
Reinforcement Learning Methods with PyTorch
☆38Updated 5 years ago
Alternatives and similar repositories for simple-pytorch-rl
Users that are interested in simple-pytorch-rl are comparing it to the libraries listed below
Sorting:
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 4 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- ☆132Updated last year
- Hierarchical-DQN in pytorch (not actively maintained)☆73Updated 8 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆104Updated 3 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 8 months ago
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆90Updated 2 years ago
- Model-Based Offline Reinforcement Learning☆51Updated 4 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Updated 5 years ago
- ☆62Updated 7 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆144Updated 2 years ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆58Updated 4 years ago
- Soft Actor-Critic☆156Updated 7 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆129Updated 4 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 5 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆59Updated 4 years ago
- ☆92Updated last year
- A new paper list for multi-agent reinforcement learning (actively maintained)☆24Updated 5 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆97Updated 5 months ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆190Updated 3 years ago
- PyTorch IMPALA implementation☆27Updated 6 years ago
- A list of papers regarding generalization in (deep) reinforcement learning☆153Updated 2 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 6 months ago
- Combining Evolutionary Algorithms and deep RL in various ways☆106Updated 5 years ago
- ☆85Updated 6 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆219Updated 2 years ago