alirezakazemipour / Distributional-RLLinks
Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.
☆14Updated 3 years ago
Alternatives and similar repositories for Distributional-RL
Users that are interested in Distributional-RL are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆22Updated 4 years ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆28Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- DecentralizedLearning☆24Updated 2 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆36Updated 3 months 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 2 years ago
- Distributional Soft Actor Critic☆53Updated 5 years ago
- Benchmarked implementations of Offline RL Algorithms.☆73Updated 3 months ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆87Updated last year
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆49Updated last year
- ☆74Updated last year
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆33Updated 2 years ago
- Deep Implicit Coordination Graphs☆41Updated last year
- Robust and safe deep reinforcement learning algorithms☆14Updated last year
- Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation☆65Updated 4 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆26Updated last year
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆63Updated last year
- PyTorch implementation of discrete version of Soft Actor-Critic.☆34Updated 3 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 2 years ago
- The Starcraft Multi-Agent challenge lite☆42Updated 8 months ago
- ☆16Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- ☆111Updated 2 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated 3 weeks ago
- Prioritized Experience Replay implementation with proportional prioritization☆78Updated last year
- [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning☆15Updated last year
- Unofficial Code for NeurIPS 2021 paper "Regret Minimization Experience Replay in Off-policy Reinforcement Learning"☆14Updated 4 years ago