guptav96 / BDQN-PyTorchLinks
Efficient Exploration through Bayesian Deep-Q Networks.
☆18Updated 3 years ago
Alternatives and similar repositories for BDQN-PyTorch
Users that are interested in BDQN-PyTorch are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 4 years ago
- Revisiting Discrete Gradient Estimation in MADDPG☆27Updated 2 years ago
- A collection of Meta-Reinforcement Learning algorithms in PyTorch☆51Updated last year
- Source code for paper: Efficient deep reinforcement learning via adaptive policy transfer☆15Updated 3 years ago
- ☆32Updated 4 years ago
- An Implementation of Recurrent Experience Replay in Distributed Reinforcement Learning (Kapturowski et al. 2019) in PyTorch☆54Updated 3 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆111Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆171Updated last year
- Revisiting Discrete Soft Actor-Critic Accepted by Transactions on Machine Learning Research (TMLR)☆27Updated last year
- Collection of OpenAI parametrized action-space environments.☆69Updated 10 months ago
- Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'☆72Updated 4 years ago
- Implementation of HindSight Experience Replay paper with Pytorch☆31Updated 4 years ago
- Multi-Objective Deep Reinforcement Learning☆45Updated 9 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 3 years ago
- DecentralizedLearning☆25Updated 3 years ago
- Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation☆37Updated 5 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆167Updated 2 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆42Updated 3 years ago
- Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.☆25Updated 7 months ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆104Updated 2 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Updated 3 years ago
- ☆49Updated 4 years ago
- The official code base of Shared Experience Actor-Critic (NeurIPS2020)☆43Updated last year
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Updated 4 years ago
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆20Updated 3 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆86Updated 2 years ago
- ☆20Updated 3 years ago
- Delayed RL agent for non-Atari tasks, from "Acting in Delayed Environments with Non-Stationary Markov Policies", ICLR 2021.☆14Updated 2 years ago
- BranchingDQN☆51Updated 7 years ago