rejuvyesh / rllabLinks
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
☆14Updated 8 years ago
Alternatives and similar repositories for rllab
Users that are interested in rllab are comparing it to the libraries listed below
Sorting:
- The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.☆82Updated 4 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 6 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- A curated list of awesome Model-based reinforcement learning resources☆93Updated 5 years ago
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆37Updated 6 years ago
- Working directory for dynamics learning for experimental robots.☆57Updated 4 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆60Updated 5 years ago
- Factored model-based Bayesian Reinforcement Learning framework☆22Updated 2 years ago
- DecentralizedLearning☆25Updated 2 years ago
- 2D Gridworld navigation using RL with Hindsight Experience Replay☆44Updated 6 years ago
- Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)☆26Updated 3 years ago
- Distributed (and single-agent) reinforcement learning code for simulated multi-robot distributed assembly.☆25Updated 7 years ago
- Collection of OpenAI parametrized action-space environments.☆66Updated 5 months ago
- Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)☆33Updated 2 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆49Updated 4 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆83Updated 7 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆41Updated 6 years ago
- Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"☆16Updated 6 years ago
- An environment for an obstacle avoidance task☆35Updated 4 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 8 years ago
- Soft Actor-Critic with advanced features☆51Updated this week
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆88Updated last year
- Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".☆54Updated 5 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"☆17Updated 3 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
- ☆94Updated 2 years ago
- ☆78Updated last year
- ☆23Updated 5 years ago