araffin / rlss23-dqn-tutorialLinks
Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023
☆86Updated 3 months ago
Alternatives and similar repositories for rlss23-dqn-tutorial
Users that are interested in rlss23-dqn-tutorial are comparing it to the libraries listed below
Sorting:
- Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.☆58Updated 2 years ago
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆102Updated 8 months ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆90Updated 2 years ago
- Modular Single-file Reinfocement Learning Algorithms Library☆38Updated 2 years ago
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆85Updated 2 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆105Updated 4 years ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆79Updated 3 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆42Updated 10 months ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆45Updated 3 months ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 6 months ago
- A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data…☆40Updated last year
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆68Updated 2 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆43Updated 3 years ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆76Updated 2 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆142Updated last year
- ☆48Updated last month
- A modular implementation of PPO, and soon hopefully other algorithms.☆26Updated 2 years ago
- On-Policy Policy Gradient Algorithms in JAX☆42Updated last year
- An unofficial implementation for online decision transformer☆41Updated 3 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆149Updated 4 years ago
- Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization☆83Updated 2 years ago
- [NeurIPS 2024] Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow☆41Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆103Updated 3 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆83Updated last year
- OpenAi's gym environment wrapper to vectorize them with Ray☆23Updated 2 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 8 months ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆56Updated 2 years ago
- [NeurIPS 2022] Open source code for reusing prior computational work in RL.☆99Updated 2 years ago