goktug97 / PEPG-ES
Python Implementation of Parameter-exploring Policy Gradients Evolution Strategy
β16Updated 4 years ago
Alternatives and similar repositories for PEPG-ES:
Users that are interested in PEPG-ES are comparing it to the libraries listed below
- Minimal PyTorch Library for Natural Evolution Strategiesβ17Updated 3 years ago
- π¦ΎDistributed Natural Evolution Strategies Build with PyTorch and Rayβ17Updated 6 years ago
- Map-Elites based on Evolution Strategiesβ31Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Predictionβ19Updated 5 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQNβ43Updated 4 years ago
- Deep Reinforcement Learning Framework done with PyTorchβ31Updated 3 weeks ago
- Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategiesβ28Updated 2 years ago
- Evolution Strategy Libraryβ55Updated 4 years ago
- Simple implementations of multi-agent evolutionary strategies using pytorch.β15Updated 3 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"β19Updated 2 years ago
- Plannable Approximations to MDP Homomorphisms: Equivariance under Actionsβ29Updated 4 years ago
- β20Updated 5 years ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"β38Updated 4 years ago
- β14Updated 5 years ago
- Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.β13Updated 2 years ago
- Neuro-evolution for OpenAI Gym environmentsβ56Updated 3 years ago
- AlphaZero for continuous control tasksβ23Updated 2 years ago
- A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog postβ45Updated 6 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.β36Updated 4 years ago
- β19Updated 3 years ago
- A PyTorch implementation of SEED, originally created by Google Research for TensorFlow 2.β12Updated 4 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)β26Updated 2 years ago
- Variational Reinforcement Learningβ16Updated 6 months ago
- β16Updated 3 years ago
- State Space Models for Reinforcement Learning in Tensorflowβ19Updated 6 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimizationβ24Updated 4 years ago
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. aβ¦β20Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradientsβ32Updated 4 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learningβ18Updated 7 years ago
- Bayesian Reward Shaping Framework for Deep Reinforcement Learningβ23Updated 5 years ago