johannah / bootstrap_dqnLinks
Implementation of Bootstrap DQN and Randomized Prior Functions on ALE
☆54Updated 4 months ago
Alternatives and similar repositories for bootstrap_dqn
Users that are interested in bootstrap_dqn are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- PyTorch IMPALA implementation☆27Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆103Updated 4 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated last year
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆125Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆88Updated 4 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆73Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆139Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- ☆99Updated 2 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆190Updated 2 years ago
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago
- Deep Variational Reinforcement Learning☆136Updated 3 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 6 months ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆65Updated 5 years ago
- ☆92Updated last year
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 5 years ago
- Model-Based Offline Reinforcement Learning☆51Updated 4 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆93Updated last year
- Code for MOPO: Model-based Offline Policy Optimization☆182Updated 3 years ago
- ☆199Updated 2 years ago
- ☆113Updated 2 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆149Updated 3 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆192Updated 2 years ago
- ☆84Updated 4 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago