Recurrent continuous reinforcement learning algorithms implemented in Pytorch.
☆51May 26, 2021Updated 4 years ago
Alternatives and similar repositories for r2l
Users that are interested in r2l are comparing it to the libraries listed below
Sorting:
- Baseline implementation of recurrent PPO using truncated BPTT☆160Apr 28, 2024Updated last year
- Experiments with reinforcement learning and recurrent neural networks☆114Oct 27, 2023Updated 2 years ago
- POMDP wrappers for OpenAI Gym☆15Nov 4, 2019Updated 6 years ago
- Deep RL agents with PyTorch☆36Sep 25, 2021Updated 4 years ago
- Beamer theme for Northeastern University☆16Oct 22, 2024Updated last year
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆22Nov 29, 2025Updated 3 months ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆90Nov 21, 2023Updated 2 years ago
- ☆21Dec 22, 2020Updated 5 years ago
- A TF2.0 implementation of RL baselines.☆10Sep 24, 2021Updated 4 years ago
- This repository contains the code of the paper Policy learning in SE(3) action spaces. Project website: https://pointw.github.io/asrse3-p…☆11Feb 24, 2021Updated 5 years ago
- A custom open ai gym environment for solo experimentation.☆12Apr 14, 2021Updated 4 years ago
- code for CoRL 2020 paper "Contrastive Variational Model-Based Reinforcement Learning for Complex Observations"☆24Dec 29, 2021Updated 4 years ago
- Asymmetric methods for partially observable reinforcement learning☆10Jun 9, 2025Updated 8 months ago
- Docker containers of baseline agents for the Crafter environment☆30Dec 14, 2021Updated 4 years ago
- This repository contains data and analysis scripts to reproduce the figures as well as source code and simulation scripts to perform the …☆13Apr 13, 2021Updated 4 years ago
- Asynchronous Advantage Actor-Critic using Generalized Advantage Estimation (PyTorch)☆10Oct 11, 2019Updated 6 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆206Oct 5, 2022Updated 3 years ago
- Multi-agent active perception with prediction rewards☆11Nov 13, 2020Updated 5 years ago
- Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)☆27Oct 12, 2021Updated 4 years ago
- Deep Q-Learning Auto Market Maker☆12Jun 12, 2021Updated 4 years ago
- V-MPO torch version with DMLab30 and GTrXL☆13Mar 1, 2021Updated 5 years ago
- cordial-sync is a software package than can be used to reproduce the results from the paper "A Cordial Sync: Going Beyond Marginal Polici…☆41Jan 13, 2021Updated 5 years ago
- Train an agent to play VizDoom with multi sensory inputs. Trained using sample factory☆14Jul 9, 2021Updated 4 years ago
- This repository is a collection of widely used self-supervised auxiliary losses used for learning representations in reinforcement learni…☆14Feb 27, 2023Updated 3 years ago
- code scripts for blog posts I published☆12Jun 17, 2020Updated 5 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆34Mar 29, 2023Updated 2 years ago
- JAX implementations of core Deep RL algorithms☆84May 2, 2022Updated 3 years ago
- Original tensorflow implementation of SILOT (Spatially Invariant, Label-free Object Tracking).☆13Mar 24, 2023Updated 2 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Sep 6, 2023Updated 2 years ago
- Variational Reinforcement Learning☆17Jul 25, 2024Updated last year
- https://robotmlcourse.github.io/SP20/index.html☆14Aug 27, 2020Updated 5 years ago
- Evaluating different engineering tricks that make RL work☆15Jun 3, 2021Updated 4 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆342Aug 22, 2024Updated last year
- Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M …☆44Dec 11, 2021Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆335Mar 24, 2023Updated 2 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆164Jun 23, 2023Updated 2 years ago
- Code for the paper "Functional Regularization for Reinforcement Learning via Learned Fourier Features"☆20Oct 2, 2022Updated 3 years ago
- Repository for ML Reproducibility Challenge 2020 for the Neurips paper, "The Value Equivalence Principle for Model-Based Reinforcement Le…☆18Apr 13, 2021Updated 4 years ago
- ☆16Nov 20, 2021Updated 4 years ago