qlan3 / ExplorerLinks
Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
☆95Updated 2 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☆161Updated 5 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 3 years ago
- ☆133Updated last year
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆140Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆89Updated 4 years ago
- ☆77Updated last year
- ☆62Updated 7 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆188Updated 3 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆194Updated 2 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆150Updated 4 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆128Updated 4 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆105Updated 4 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆162Updated 3 years ago
- ☆54Updated last year
- A list of papers regarding generalization in (deep) reinforcement learning☆152Updated 2 years ago
- Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning☆102Updated 3 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆191Updated 2 years ago
- ☆201Updated 2 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆28Updated 3 years ago
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆56Updated 2 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆54Updated 6 months ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- Adaptive Attention Span for Reinforcement Learning☆134Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- Model-Based Offline Reinforcement Learning☆51Updated 4 years ago
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- Gridworld for MARL experiments☆141Updated 4 years ago