ido90 / CeSoR
☆15Updated last year
Alternatives and similar repositories for CeSoR:
Users that are interested in CeSoR are comparing it to the libraries listed below
- Code for Shapley values for explaining reinforcement learning. XRL feature-influence method.☆19Updated last year
- Efficient Exploration through Bayesian Deep-Q Networks.☆18Updated 2 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆18Updated 3 years ago
- Delayed RL agent for non-Atari tasks, from "Acting in Delayed Environments with Non-Stationary Markov Policies", ICLR 2021.☆14Updated last year
- Extending rllab to event-driven multiagent environments☆13Updated 6 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 2 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆39Updated 4 years ago
- Official repository for paper "Conservative Offline Distributional Reinforcement Learning" (NeurIPS 2021)☆20Updated 3 years ago
- ☆101Updated 3 months ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆60Updated last year
- DecentralizedLearning☆22Updated 2 years ago
- ☆19Updated 7 months ago
- Combining Evolutionary Algorithms and deep Reinforcement Learning☆15Updated 6 years ago
- Official repo for our AAAI'21 paper, https://arxiv.org/abs/2007.12354☆25Updated 3 years ago
- A library for mean-field games.☆46Updated this week
- GAIL learning to imitate PPO playing CartPole.☆12Updated 3 years ago
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- OpenAi's gym environment wrapper to vectorize them with Ray☆22Updated last year
- Actor-Sharer-Learner training framework for off-policy DRL algorithms☆19Updated 3 weeks ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆32Updated 2 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆44Updated last year
- Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.☆48Updated last year
- An unofficial implementation for online decision transformer☆39Updated 2 years ago
- Benchmarks for Multi-Objective Multi-Agent Decision Making☆77Updated 2 months ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆33Updated 3 years ago
- reinforcement learning with pytorch geometric library☆48Updated 3 years ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆37Updated last year
- Deep Reinforcement Learning for Nash Equilibria☆42Updated 2 years ago
- Reinforcement Learning Environments for Sustainable Energy Systems☆42Updated 7 months ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆32Updated 7 months ago