Miffyli / rl-action-space-shapingLinks
Experiment code for testing effect of various action space transformations in reinforcement learning
☆30Updated 5 years ago
Alternatives and similar repositories for rl-action-space-shaping
Users that are interested in rl-action-space-shaping are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆42Updated 3 years ago
- ☆54Updated last year
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 4 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 5 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆55Updated 4 years ago
- Deep RL agents with PyTorch☆35Updated 4 years ago
- ☆22Updated last year
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 2 months ago
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆30Updated 2 years ago
- ☆33Updated last year
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆32Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆105Updated 4 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆40Updated 3 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆39Updated 2 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 4 months ago
- Soft Actor-Critic with advanced features☆51Updated 2 weeks ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆91Updated 4 years ago
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆66Updated 5 years ago
- PyTorch IMPALA implementation☆28Updated 6 years ago
- ☆99Updated 2 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆50Updated 4 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago