guptav96 / BDQN-PyTorch
Efficient Exploration through Bayesian Deep-Q Networks.
☆17Updated 2 years ago
Related projects: ⓘ
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆21Updated 10 months ago
- Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning☆26Updated 3 years ago
- ☆8Updated 3 years ago
- Revisiting Discrete Gradient Estimation in MADDPG☆23Updated last year
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆34Updated 5 years ago
- ☆16Updated last year
- Value-Decomposition Multi-Agent Actor-Critics☆39Updated last year
- A library for mean-field games.☆43Updated last year
- qmix☆21Updated 4 years ago
- A collection of Meta-Reinforcement Learning algorithms in PyTorch☆31Updated 2 months ago
- ☆15Updated 9 months ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆34Updated 4 years ago
- Code for Shapley values for explaining reinforcement learning. XRL feature-influence method.☆15Updated 9 months ago
- [AAMAS 2023] Code for the paper "Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning"☆11Updated 6 months ago
- Implementation for mSAC methods in PyTorch☆36Updated 2 years ago
- Experiments for performing empirical game-theoretic analysis of networked system control for common-pool resource management using multi-…☆16Updated 3 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆40Updated 9 months ago
- Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>☆12Updated 2 years ago
- This is the official implementation of ERL-Re2.☆55Updated 3 months ago
- Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)☆15Updated 4 years ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆38Updated 2 years ago
- PyTorch implementation of MATD3☆12Updated 4 years ago
- Multi-Agent Determinantal Q-Learning☆41Updated last year
- ☆15Updated 7 months ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆70Updated 9 months ago
- Paper list for constrained policy optimization in reinforcement learning.☆64Updated 10 months ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆49Updated 8 months ago
- Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'☆54Updated 2 years ago
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆57Updated last year
- Bayesian Soft Actor Critic☆14Updated last year