osigaud / Basic-Policy-Gradient-LabsLinks
A repo to design basic Policy Gradient labs
☆12Updated 2 years ago
Alternatives and similar repositories for Basic-Policy-Gradient-Labs
Users that are interested in Basic-Policy-Gradient-Labs are comparing it to the libraries listed below
Sorting:
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆17Updated 6 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆68Updated 5 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 6 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 5 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 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
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆103Updated 2 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- AGAC: Adversarially Guided Actor-Critic☆47Updated 4 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- Accelerated Methods for Deep Reinforcement Learning☆49Updated 6 years ago
- ☆31Updated 6 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆103Updated 3 years ago
- ☆99Updated 2 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆56Updated 9 months ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆152Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆29Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 7 months ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- ☆85Updated 4 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆84Updated 4 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆68Updated 5 years ago