bramgrooten / automatic-noise-filtering
[AAMAS 2023] Code for the paper "Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning"
☆13Updated 11 months ago
Alternatives and similar repositories for automatic-noise-filtering:
Users that are interested in automatic-noise-filtering are comparing it to the libraries listed below
- V-MPO torch version with DMLab30 and GTrXL☆12Updated 3 years ago
- ☆14Updated 3 years ago
- Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>☆12Updated 3 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆60Updated last year
- Multi-task Multi-agent Soft Actor Critic for SMAC☆12Updated 3 years ago
- Prioritized Sequence Experience Replay☆10Updated 3 years ago
- ☆19Updated 2 years ago
- ☆28Updated 3 years ago
- DecentralizedLearning☆23Updated 2 years ago
- The official implementation of Memory-efficient DQN algorithm.☆10Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Delayed RL agent for non-Atari tasks, from "Acting in Delayed Environments with Non-Stationary Markov Policies", ICLR 2021.☆14Updated last year
- ☆14Updated last year
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- Unofficial Code for NeurIPS 2021 paper "Regret Minimization Experience Replay in Off-policy Reinforcement Learning"☆13Updated 3 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆32Updated this week
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆26Updated 2 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆25Updated 3 years ago
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆22Updated 3 months ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆45Updated 11 months ago
- ☆9Updated 4 years ago
- Codebase for BRDiv: Diverse teammate generation for ad hoc teamwork☆13Updated 9 months ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)☆10Updated 2 years ago
- ☆11Updated 3 years ago
- Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”☆24Updated last year
- Code for ICLR 2022 Paper (HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning)☆12Updated last year
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆21Updated last year
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Official repository of the paper "FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning"☆18Updated 6 months ago