emmaajordan / EvaluationOfRLAlgsLinks
This repository contains the code used in the paper Evaluating the Performance of Reinformcent Learning Algorithms
☆27Updated 4 years ago
Alternatives and similar repositories for EvaluationOfRLAlgs
Users that are interested in EvaluationOfRLAlgs are comparing it to the libraries listed below
Sorting:
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Deep Variational Reinforcement Learning☆138Updated 3 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆88Updated 6 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆29Updated 6 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆46Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox☆163Updated 6 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆40Updated 2 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Updated 2 years ago
- Hierarchical Self-Play☆21Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 6 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆101Updated 4 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆151Updated 4 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆39Updated 6 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆103Updated 2 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago