conftrace_

continuous control

246 papers

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Co-occurring keywords

reinforcement learning (4352) deep reinforcement learning (903) policy gradient (520) sample efficiency (472) model-based reinforcement learning (415) policy optimization (657) off-policy learning (228) imitation learning (744) policy learning (702) offline reinforcement learning (492)

Papers

Policy Search by Target Distribution Learning for Continuous Control AAAI 2020
Control Regularization for Reduced Variance Reinforcement Learning ICML 2019
Model Learning for Look-Ahead Exploration in Continuous Control AAAI 2019
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics CORL 2019
Learning Belief Representations for Imitation Learning in POMDPs UAI 2019
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective AISTATS 2019
Learning Latent Dynamics for Planning from Pixels ICML 2019
Trajectory-Based Off-Policy Deep Reinforcement Learning ICML 2019
Action Robust Reinforcement Learning and Applications in Continuous Control ICML 2019
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks AAAI 2019
Imitation-Projected Programmatic Reinforcement Learning NIPS 2019
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning NIPS 2019
Distributional Policy Optimization: An Alternative Approach for Continuous Control NIPS 2019
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies NIPS 2019
Better Exploration with Optimistic Actor Critic NIPS 2019
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator NIPS 2019
Experience Replay Optimization IJCAI 2019
Autoregressive Policies for Continuous Control Deep Reinforcement Learning IJCAI 2019
Collaborative Evolutionary Reinforcement Learning ICML 2019
Policy Consolidation for Continual Reinforcement Learning ICML 2019
Composing Entropic Policies using Divergence Correction ICML 2019
Off-Policy Deep Reinforcement Learning without Exploration ICML 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms ICML 2019
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search AAAI 2019
Deep Reactive Policies for Planning in Stochastic Nonlinear Domains AAAI 2019