siekmanj / r2lLinks
Recurrent continuous reinforcement learning algorithms implemented in Pytorch.
☆51Updated 4 years ago
Alternatives and similar repositories for r2l
Users that are interested in r2l are comparing it to the libraries listed below
Sorting:
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆194Updated 2 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 5 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 2 months ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆103Updated 3 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆105Updated 3 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- Deep RL agents with PyTorch☆35Updated 4 years ago
- A collection of RL algorithms written in JAX.☆104Updated 3 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆106Updated 5 years ago
- ☆72Updated 6 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆78Updated 3 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆151Updated 4 years ago
- ☆99Updated 2 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆108Updated 3 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 10 months ago
- PyTorch IMPALA implementation☆27Updated 6 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 5 years ago
- Soft Actor-Critic with advanced features☆51Updated last month
- Revisiting Rainbow☆76Updated 4 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated 2 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
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆40Updated 2 years ago
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 7 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 8 months ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆90Updated 2 years ago
- Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined wit…☆190Updated 4 years ago