jvmncs / ParamNoiseLinks
A comparison of parameter space noise methods for exploration in deep reinforcement learning
☆28Updated 6 years ago
Alternatives and similar repositories for ParamNoise
Users that are interested in ParamNoise are comparing it to the libraries listed below
Sorting:
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆56Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- ☆83Updated 4 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Guided-Meta Policy Search☆39Updated 2 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆98Updated 4 years ago
- ☆99Updated 2 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 5 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- OpenAI Gym Wrapper for DeepMind Control Suite☆71Updated 3 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Autoregressive policies for continuous control reinforcement learning☆32Updated 6 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- ☆68Updated 3 years ago
- Official implementation of ICML paper Imitating Latent Policies from Observation☆75Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- ☆54Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 2 years ago
- Deep Variational Reinforcement Learning☆136Updated 3 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆29Updated 5 years ago
- Reinforcement Learning papers on exploration methods.☆19Updated 4 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 7 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago