IBM / constrained-rlLinks
Constrained Exploration and Recovery from Experience Shaping
☆22Updated 6 years ago
Alternatives and similar repositories for constrained-rl
Users that are interested in constrained-rl are comparing it to the libraries listed below
Sorting:
- Safe Reinforcement Learning algorithms☆75Updated 3 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆67Updated 2 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
- DecentralizedLearning☆25Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Implementation of the Option-Critic Architecture☆40Updated 6 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
- ☆78Updated last year
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 5 years ago
- Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"☆17Updated 3 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆61Updated 5 years ago
- Deep RL agents with PyTorch☆35Updated 4 years ago
- A curated list of awesome Model-based reinforcement learning resources☆95Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆106Updated 5 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆50Updated last year
- ☆99Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 6 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 7 years ago
- Implementations of SAILR, PDO, and CSC☆31Updated last year
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆76Updated 2 years ago
- ☆73Updated 5 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 5 years ago
- PyTorch IMPALA implementation☆27Updated 6 years ago
- Collection of OpenAI parametrized action-space environments.☆66Updated 8 months ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago