apourchot / ERL-pytorch
Combining Evolutionary Algorithms and deep Reinforcement Learning
☆14Updated 6 years ago
Related projects: ⓘ
- Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>☆12Updated 2 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆16Updated 3 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆98Updated 3 years ago
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆19Updated last year
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆42Updated last year
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆35Updated last year
- Efficient Exploration through Bayesian Deep Q-Networks☆35Updated 6 years ago
- ☆20Updated 5 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆27Updated 3 weeks ago
- Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning☆39Updated last year
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆21Updated 10 months ago
- This is the official implementation of ERL-Re2.☆55Updated 3 months ago
- Experiments on a discrete mean field game model of population dynamics with reinforcement learning☆30Updated 11 months ago
- Actor-Sharer-Learner training framework for off-policy DRL algorithms☆19Updated last year
- Decision Transformer: A brand new Offline RL Pattern.☆33Updated 2 years ago
- Code for Shapley values for explaining reinforcement learning. XRL feature-influence method.☆15Updated 9 months ago
- on-policy optimization baselines for deep reinforcement learning☆28Updated 4 years ago
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆21Updated last year
- Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020☆49Updated last month
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 4 years ago
- Multi-Objective Reinforcement Learning components built on top of RL glue components☆27Updated last year
- [AAMAS 2023] Code for the paper "Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning"☆11Updated 6 months ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆17Updated 2 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆40Updated 9 months ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated last year
- Uber's Multi-Agent Routing Value Iteration Network☆57Updated 3 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆77Updated last year
- Experiments to train transformer network to master reinforcement learning environments.☆30Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆34Updated 4 years ago
- ☆30Updated last month