MarcoMeter / neroRLLinks
Deep Reinforcement Learning Framework done with PyTorch
☆37Updated 4 months ago
Alternatives and similar repositories for neroRL
Users that are interested in neroRL are comparing it to the libraries listed below
Sorting:
- Challenging Memory-based Deep Reinforcement Learning Agents☆102Updated 9 months ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 3 weeks ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆41Updated 3 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 4 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 4 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆58Updated 3 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆93Updated last year
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆63Updated last year
- OpenAi's gym environment wrapper to vectorize them with Ray☆23Updated 2 years ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆76Updated 2 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆55Updated this week
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆51Updated 2 months ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- [NeurIPS 2022] Open source code for reusing prior computational work in RL.☆97Updated 2 years ago
- A collection of RL algorithms written in JAX.☆102Updated 3 years ago
- Modular Single-file Reinfocement Learning Algorithms Library☆38Updated 2 years ago
- Implementation of Diversity Is All You Need (DIAYN) on top of Stable Baselines 3.☆12Updated 3 years ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆40Updated 4 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆33Updated 2 years ago
- ☆32Updated last year
- On the model-based stochastic value gradient for continuous reinforcement learning☆56Updated 2 years ago
- My Body Is A Cage☆41Updated 4 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆107Updated 3 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆69Updated 4 years ago
- ☆22Updated last year