qlan3 / ExplorerLinks
Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
☆97Updated 6 months ago
Alternatives and similar repositories for Explorer
Users that are interested in Explorer are comparing it to the libraries listed below
Sorting:
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Updated 5 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆106Updated 3 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆130Updated 4 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆191Updated 3 years ago
- ☆134Updated last year
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆198Updated 2 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆155Updated 4 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆145Updated 2 years ago
- ☆114Updated 2 years ago
- A list of papers regarding generalization in (deep) reinforcement learning☆153Updated 2 years ago
- ☆202Updated 2 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆162Updated 4 years ago
- ☆54Updated last year
- ☆78Updated last year
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆56Updated 10 months ago
- Implementation of the Option-Critic Architecture☆40Updated 7 years ago
- Multi Task RL Baselines☆258Updated 4 years ago
- ☆62Updated 7 years ago
- Model-Based Offline Reinforcement Learning☆52Updated 5 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆141Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆103Updated 3 years ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆58Updated 4 years ago
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆58Updated 3 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆107Updated 5 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 8 months ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago