asonabend / ESRLLinks
Code for Expert Supervised Reinforcement Learning
☆10Updated 4 years ago
Alternatives and similar repositories for ESRL
Users that are interested in ESRL are comparing it to the libraries listed below
Sorting:
- ☆17Updated 3 years ago
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year
- Model-Based Offline Reinforcement Learning☆51Updated 4 years ago
- ☆29Updated 3 years ago
- ☆26Updated 2 years ago
- Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]☆47Updated 2 years ago
- Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…☆40Updated 4 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆35Updated 2 years ago
- ☆42Updated 3 years ago
- Codebase for BRDiv: Diverse teammate generation for ad hoc teamwork☆13Updated last year
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆37Updated 6 months ago
- ☆57Updated 2 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆35Updated 2 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆48Updated last year
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 6 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Updated 6 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆31Updated 8 months ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆35Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated 2 years ago
- ☆15Updated 4 years ago
- An unofficial implementation for online decision transformer☆40Updated 2 years ago
- Code for demonstration example-task in RUDDER blog☆24Updated 5 years ago
- Official implementation of "Know Your Action Set: Learning Action Relations for Reinforcement Learning", Jain et al., ICLR 2022.☆18Updated 3 years ago
- ☆26Updated 5 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆24Updated 4 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆71Updated 2 years ago